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https://github.com/xmu-xiaoma666/eccv2022-paper-list
ECCV2022-Paper-List
https://github.com/xmu-xiaoma666/eccv2022-paper-list
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ECCV2022-Paper-List
- Host: GitHub
- URL: https://github.com/xmu-xiaoma666/eccv2022-paper-list
- Owner: xmu-xiaoma666
- Created: 2022-08-27T03:53:07.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2022-08-27T04:29:19.000Z (over 2 years ago)
- Last Synced: 2023-03-04T18:07:39.898Z (almost 2 years ago)
- Size: 275 KB
- Stars: 10
- Watchers: 1
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ECCV2022-Paper-List
ECCV2022论文汇总，部分论文的详细解析见**FightingCV公众号**。
## 技术交流 
欢迎大家关注公众号：**FightingCV**
| FightingCV公众号 | 小助手微信 （备注【**公司/学校+方向+ID**】）|
:-------------------------:|:-------------------------:
| 
- 公众号**每天**都会进行**论文、算法和代码的干货分享**哦~
- **交流群每天分享一些最新的论文和解析**，欢迎大家一起**学习交流**哈~~~
（加不进去可以加微信：**775629340**，记得备注【**公司/学校+方向+ID**】）
- 强烈推荐大家关注[**知乎**](https://www.zhihu.com/people/jason-14-58-38/posts)账号和[**FightingCV公众号**](https://mp.weixin.qq.com/s/m9RiivbbDPdjABsTd6q8FA)，可以快速了解到最新优质的干货资源。
## 数据集/Dataset
**COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts**
- 论文/Paper: http://arxiv.org/pdf/2207.04675
- 代码/Code: https://github.com/ku21fan/COO-Comic-Onomatopoeia
**Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset**
- 论文/Paper: http://arxiv.org/pdf/2207.10664
- 代码/Code: https://github.com/visipedia/ssw60
**BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2207.10120
- 代码/Code: https://github.com/dmoltisanti/brace
**CelebV-HQ: A Large-Scale Video Facial Attributes Dataset**
- 论文/Paper: http://arxiv.org/pdf/2207.12393
- 代码/Code: https://github.com/CelebV-HQ/CelebV-HQ
**Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions**
- 论文/Paper: http://arxiv.org/pdf/2208.01166
- 代码/Code: None
## Image Classification
**Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation**
- 论文/Paper: http://arxiv.org/pdf/2207.06989
- 代码/Code: https://github.com/remiMZ/HTS-ECCV22
**Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization**
- 论文/Paper: http://arxiv.org/pdf/2207.07818
- 代码/Code: https://github.com/zh460045050/BagCAMs
**Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification**
- 论文/Paper: http://arxiv.org/pdf/2207.09519
- 代码/Code: https://github.com/gaopengcuhk/tip-adapter
**Invariant Feature Learning for Generalized Long-Tailed Classification**
- 论文/Paper: http://arxiv.org/pdf/2207.09504
- 代码/Code: https://github.com/kaihuatang/generalized-long-tailed-benchmarks.pytorch
**RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos**
- 论文/Paper: http://arxiv.org/pdf/2207.11075
- 代码/Code: https://github.com/megvii-research/RealFlow
## GAN
**Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization**
- 论文/Paper: Waiting for official release
- 代码/Code: https://github.com/Kaminyou/URUST
**Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling**
- 论文/Paper: http://arxiv.org/abs/2207.02196
- 代码/Code: https://github.com/fudan-zvg/pds
**CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer**
- 论文/Paper: http://arxiv.org/pdf/2207.04808
- 代码/Code: https://github.com/JarrentWu1031/CCPL
**Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2207.05049
- 代码/Code: https://github.com/fast-vid2vid/fast-vid2vid
**RepMix: Representation Mixing for Robust Attribution of Synthesized Images**
- 论文/Paper: http://arxiv.org/abs/2207.02063
- 代码/Code: https://github.com/tubui/image_attribution
**VecGAN: Image-to-Image Translation with Interpretable Latent Directions**
- 论文/Paper: http://arxiv.org/pdf/2207.03411
- 代码/Code: None
**Context-Consistent Semantic Image Editing with Style-Preserved Modulation**
- 论文/Paper: http://arxiv.org/pdf/2207.06252
- 代码/Code: https://github.com/wuyangluo/spmpgan
**DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation**
- 论文/Paper: http://arxiv.org/pdf/2207.06124
- 代码/Code: https://github.com/huage001/dynast
**Supervised Attribute Information Removal and Reconstruction for Image Manipulation**
- 论文/Paper: http://arxiv.org/pdf/2207.06555
- 代码/Code: https://github.com/nannanli999/airr
**Name: Adaptive Feature Interpolation for Low-Shot Image Generation**
- 论文/Paper: https://arxiv.org/abs/2112.02450
- 代码/Code: https://github.com/dzld00/Adaptive-Feature-Interpolation-for-Low-Shot-Image-Generation
**WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation**
- 论文/Paper: http://arxiv.org/pdf/2207.07288
- 代码/Code: Link:https://github.com/kobeshegu/ECCV2022_WaveGAN
**FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs**
- 论文/Paper: http://arxiv.org/pdf/2207.08630
- 代码/Code: https://github.com/iceli1007/FakeCLR
**Outpainting by Queries**
- 论文/Paper: https://arxiv.org/abs/2207.05312
- 代码/Code: https://github.com/Kaiseem/QueryOTR
**Single Stage Virtual Try-on via Deformable Attention Flows**
- 论文/Paper: http://arxiv.org/pdf/2207.09161
- 代码/Code: None
**Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation**
- 论文/Paper: http://arxiv.org/pdf/2207.09019
- 代码/Code: https://github.com/gerwang/facial-detail-manipulation
**Monocular 3D Object Reconstruction with GAN Inversion**
- 论文/Paper: http://arxiv.org/pdf/2207.10061
- 代码/Code: https://github.com/junzhezhang/mesh-inversion
**Generative Multiplane Images: Making a 2D GAN 3D-Aware**
- 论文/Paper: http://arxiv.org/pdf/2207.10642
- 代码/Code: https://github.com/apple/ml-gmpi
**DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta**
- 论文/Paper: http://arxiv.org/pdf/2207.10271
- 代码/Code: https://github.com/bcmi/deltagan-few-shot-image-generation
**Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2207.10257
- 代码/Code: https://github.com/jgkwak95/surf-gan
**SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.10256
- 代码/Code: None
**2D GANs Meet Unsupervised Single-view 3D Reconstruction**
- 论文/Paper: http://arxiv.org/pdf/2207.10183
- 代码/Code: None
**InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images**
- 论文/Paper: http://arxiv.org/pdf/2207.11148
- 代码/Code: None
**Auto-regressive Image Synthesis with Integrated Quantization**
- 论文/Paper: http://arxiv.org/pdf/2207.10776
- 代码/Code: None
**Compositional Human-Scene Interaction Synthesis with Semantic Control**
- 论文/Paper: http://arxiv.org/pdf/2207.12824
- 代码/Code: https://github.com/zkf1997/coins
**Generator Knows What Discriminator Should Learn in Unconditional GANs**
- 论文/Paper: http://arxiv.org/pdf/2207.13320
- 代码/Code: https://github.com/naver-ai/GGDR
**StyleLight: HDR Panorama Generation for Lighting Estimation and Editing**
- 论文/Paper: http://arxiv.org/pdf/2207.14811
- 代码/Code: https://github.com/Wanggcong/StyleLight
**Cross Attention Based Style Distribution for Controllable Person Image Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2208.00712
- 代码/Code: None
## NeRF
**Streamable Neural Fields**
- 论文/Paper: http://arxiv.org/pdf/2207.09663
- 代码/Code: https://github.com/jwcho5576/streamable_nf
**Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2207.10257
- 代码/Code: https://github.com/jgkwak95/surf-gan
**AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields**
- 论文/Paper: http://arxiv.org/pdf/2207.10312
- 代码/Code: None
**PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo**
- 论文/Paper: http://arxiv.org/pdf/2207.11406
- 代码/Code: None
**Neural-Sim: Learning to Generate Training Data with NeRF**
- 论文/Paper: http://arxiv.org/pdf/2207.11368
- 代码/Code: None
**Neural Density-Distance Fields**
- 论文/Paper: http://arxiv.org/pdf/2207.14455
- 代码/Code: https://github.com/ueda0319/neddf
## Visual Transformer
**k-means Mask Transformer**
- 论文/Paper: http://arxiv.org/pdf/2207.04044
- 代码/Code: https://github.com/google-research/deeplab2
**Weakly Supervised Grounding for VQA in Vision-Language Transformers**
- 论文/Paper: http://arxiv.org/pdf/2207.02334
- 代码/Code: https://github.com/aurooj/wsg-vqa-vltransformers
**Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.04978
- 代码/Code: https://github.com/YehLi/ImageNetModel
**CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.04410
- 代码/Code: https://github.com/Green-Wood/CoMER
**Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.05293
- 代码/Code: https://github.com/MuchHair/HQM
**Hunting Group Clues with Transformers for Social Group Activity Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.05254
- 代码/Code: None
**Entry-Flipped Transformer for Inference and Prediction of Participant Behavior**
- 论文/Paper: http://arxiv.org/pdf/2207.06235
- 代码/Code: None
**DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation**
- 论文/Paper: http://arxiv.org/pdf/2207.06124
- 代码/Code: https://github.com/huage001/dynast
**Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.06101
- 代码/Code: https://github.com/boeun-kim/gl-transformer
**TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers**
- 论文/Paper: http://arxiv.org/pdf/2207.08409
- 代码/Code: https://github.com/Sense-X/TokenMix
**TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2207.07852
- 代码/Code: None
**Action Quality Assessment with Temporal Parsing Transformer**
- 论文/Paper: http://arxiv.org/pdf/2207.09270
- 代码/Code: None
**GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features**
- 论文/Paper: http://arxiv.org/pdf/2207.09666
- 代码/Code: https://github.com/davidnvq/grit
**Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.09644
- 代码/Code: None
**AiATrack: Attention in Attention for Transformer Visual Tracking**
- 论文/Paper: http://arxiv.org/pdf/2207.09603
- 代码/Code: https://github.com/Little-Podi/AiATrack
**Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model**
- 论文/Paper: http://arxiv.org/pdf/2207.10040
- 代码/Code: None
**TinyViT: Fast Pretraining Distillation for Small Vision Transformers**
- 论文/Paper: http://arxiv.org/pdf/2207.10666
- 代码/Code: https://github.com/microsoft/cream
**An Efficient Spatio-Temporal Pyramid Transformer for Action Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.10448
- 代码/Code: None
**Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration**
- 论文/Paper: http://arxiv.org/pdf/2207.10447
- 代码/Code: https://github.com/164140757/scm
**SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer**
- 论文/Paper: http://arxiv.org/pdf/2207.10315
- 代码/Code: https://github.com/hrzhou2/seedformer
**Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.10866
- 代码/Code: None
**IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.12100
- 代码/Code: None
**3D Siamese Transformer Network for Single Object Tracking on Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2207.11995
- 代码/Code: None
**Reference-based Image Super-Resolution with Deformable Attention Transformer**
- 论文/Paper: http://arxiv.org/pdf/2207.11938
- 代码/Code: None
**SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding**
- 论文/Paper: http://arxiv.org/pdf/2207.13325
- 代码/Code: None
**Online Continual Learning with Contrastive Vision Transformer**
- 论文/Paper: http://arxiv.org/pdf/2207.13516
- 代码/Code: None
**Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers**
- 论文/Paper: http://arxiv.org/pdf/2207.13820
- 代码/Code: https://github.com/postech-ami/FastMETRO
**Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition**
- 论文/Paper: http://arxiv.org/pdf/2208.00438
- 代码/Code: https://github.com/xdxie/WordArt
## 多模态 / Multimodal
**Audio-Visual Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.05042
- 代码/Code: https://github.com/OpenNLPLab/AVSBench
**Cross-modal Prototype Driven Network for Radiology Report Generation**
- 论文/Paper: http://arxiv.org/pdf/2207.04818
- 代码/Code: None
**Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting**
- 论文/Paper: http://arxiv.org/pdf/2207.04624
- 代码/Code: https://github.com/d1024choi/HLSTrajForecast
**UniNet: Unified Architecture Search with Convolution, Transformer, and MLP**
- 论文/Paper: http://arxiv.org/pdf/2207.05420
- 代码/Code: https://github.com/Sense-X/UniNet
**Video Graph Transformer for Video Question Answering**
- 论文/Paper: http://arxiv.org/pdf/2207.05342
- 代码/Code: https://github.com/sail-sg/VGT
**Bootstrapped Masked Autoencoders for Vision BERT Pretraining**
- 论文/Paper: http://arxiv.org/pdf/2207.07116
- 代码/Code: https://github.com/lightdxy/bootmae
**Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2207.09156
- 代码/Code: None
**Exploiting Unlabeled Data with Vision and Language Models for Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.08954
- 代码/Code: https://github.com/xiaofeng94/VL-PLM
**LocVTP: Video-Text Pre-training for Temporal Localization**
- 论文/Paper: http://arxiv.org/pdf/2207.10362
- 代码/Code: https://github.com/mengcaopku/locvtp
**Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments**
- 论文/Paper: http://arxiv.org/pdf/2207.10785
- 代码/Code: https://github.com/VinAIResearch/fsvc-ata
**Cross-Modal 3D Shape Generation and Manipulation**
- 论文/Paper: http://arxiv.org/pdf/2207.11795
- 代码/Code: None
**Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training**
- 论文/Paper: http://arxiv.org/pdf/2207.12661
- 代码/Code: https://github.com/hxyou/msclip
## 对比学习/Contrastive Learning
**Network Binarization via Contrastive Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.02970
- 代码/Code: None
**Contrastive Deep Supervision**
- 论文/Paper: http://arxiv.org/pdf/2207.05306
- 代码/Code: None
**ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images**
- 论文/Paper: http://arxiv.org/pdf/2207.06733
- 代码/Code: https://github.com/tencentailabhealthcare/concl
**Action-based Contrastive Learning for Trajectory Prediction**
- 论文/Paper: http://arxiv.org/pdf/2207.08664
- 代码/Code: None
**FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs**
- 论文/Paper: http://arxiv.org/pdf/2207.08630
- 代码/Code: https://github.com/iceli1007/FakeCLR.
**Adversarial Contrastive Learning via Asymmetric InfoNCE**
- 论文/Paper: http://arxiv.org/pdf/2207.08374
- 代码/Code: https://github.com/yqy2001/A-InfoNCE
**Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches**
- 论文/Paper: http://arxiv.org/pdf/2207.08220
- 代码/Code: None
**Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness**
- 论文/Paper: http://arxiv.org/pdf/2207.10899
- 代码/Code: https://github.com/pantheon5100/DeACL.
**Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.10892
- 代码/Code: None
## 目标检测/Object Detection
**Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.02541
- 代码/Code: None
**Should All Proposals be Treated Equally in Object Detection?**
- 论文/Paper: http://arxiv.org/pdf/2207.03520
- 代码/Code: None
**HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors**
- 论文/Paper: http://arxiv.org/pdf/2207.05345
- 代码/Code: https://github.com/LutingWang/HEAD
**Adversarially-Aware Robust Object Detector**
- 论文/Paper: http://arxiv.org/pdf/2207.06202
- 代码/Code: https://github.com/7eu7d7/robustdet
**ObjectBox: From Centers to Boxes for Anchor-Free Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.06985
- 代码/Code: https://github.com/mohsenzand/objectbox
**Point-to-Box Network for Accurate Object Detection via Single Point Supervision**
- 论文/Paper: http://arxiv.org/pdf/2207.06827
- 代码/Code: None
**DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.08531
- 代码/Code: https://github.com/SPengLiang/DID-M3D.
**SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.07898
- 代码/Code: https://github.com/Hydragon516/SPSN
**Rethinking IoU-based Optimization for Single-stage 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.09332
- 代码/Code: https://github.com/hlsheng1/RDIoU
**Densely Constrained Depth Estimator for Monocular 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.10047
- 代码/Code: https://github.com/bravegroup/dcd
**Robust Object Detection With Inaccurate Bounding Boxes**
- 论文/Paper: http://arxiv.org/pdf/2207.09697
- 代码/Code: https://github.com/cxliu0/OA-MIL
**Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box**
- 论文/Paper: http://arxiv.org/pdf/2207.09656
- 代码/Code: None
**AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.10316
- 代码/Code: https://github.com/zehuichen123/autoalignv2
**Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark**
- 论文/Paper: http://arxiv.org/pdf/2207.11169
- 代码/Code: https://github.com/amazon-research/few-shot-object-detection-benchmark.
**DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.10758
- 代码/Code: https://github.com/abhi1kumar/DEVIANT
**Active Learning Strategies for Weakly-supervised Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.12112
- 代码/Code: https://github.com/huyvvo/BiB.
**W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.12104
- 代码/Code: https://github.com/1170300714/w2n_wsod.
**Salient Object Detection for Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2207.11889
- 代码/Code: None
**UC-OWOD: Unknown-Classified Open World Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.11455
- 代码/Code: https://github.com/JohnWuzh/UC-OWOD
**Monocular 3D Object Detection with Depth from Motion**
- 论文/Paper: http://arxiv.org/pdf/2207.12988
- 代码/Code: https://github.com/tai-wang/depth-from-motion
## 目标跟踪/Object Tracking
**Tracking Objects as Pixel-wise Distributions**
- 论文/Paper: http://arxiv.org/pdf/2207.05518
- 代码/Code: None
**Towards Grand Unification of Object Tracking**
- 论文/Paper: http://arxiv.org/pdf/2207.07078
- 代码/Code: https://github.com/masterbin-iiau/unicorn
**The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting**
- 论文/Paper: http://arxiv.org/pdf/2207.09295
- 代码/Code: None
**MOTCOM: The Multi-Object Tracking Dataset Complexity Metric**
- 论文/Paper: http://arxiv.org/pdf/2207.10031
- 代码/Code: None
**Robust Landmark-based Stent Tracking in X-ray Fluoroscopy**
- 论文/Paper: http://arxiv.org/pdf/2207.09933
- 代码/Code: None
**AiATrack: Attention in Attention for Transformer Visual Tracking**
- 论文/Paper: http://arxiv.org/pdf/2207.09603
- 代码/Code: https://github.com/Little-Podi/AiATrack
**3D Siamese Transformer Network for Single Object Tracking on Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2207.11995
- 代码/Code: None
**Tracking Every Thing in the Wild**
- 论文/Paper: http://arxiv.org/pdf/2207.12978
- 代码/Code: None
**AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing**
- 论文/Paper: http://arxiv.org/pdf/2207.13784
- 代码/Code: https://github.com/eth-siplab/AvatarPoser
## 语义分割/Segmentation
**Domain Adaptive Video Segmentation via Temporal Pseudo Supervision**
- 论文/Paper: http://arxiv.org/pdf/2207.02372
- 代码/Code: https://github.com/xing0047/tps
**OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers**
- 论文/Paper: http://arxiv.org/pdf/2207.02255
- 代码/Code: https://github.com/pjlallen/osformer
**PseudoClick: Interactive Image Segmentation with Click Imitation**
- 论文/Paper: http://arxiv.org/pdf/2207.05282
- 代码/Code: None
**XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model**
- 论文/Paper: http://arxiv.org/pdf/2207.07115
- 代码/Code: https://github.com/hkchengrex/XMem
**Tackling Background Distraction in Video Object Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.06953
- 代码/Code: https://github.com/suhwan-cho/tbd
**Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.08549
- 代码/Code: None
**Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.08485
- 代码/Code: https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN
**Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding**
- 论文/Paper: http://arxiv.org/pdf/2207.08455
- 代码/Code: None
**Learning Quality-aware Dynamic Memory for Video Object Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.07922
- 代码/Code: https://github.com/workforai/QDMN
**Box-supervised Instance Segmentation with Level Set Evolution**
- 论文/Paper: http://arxiv.org/pdf/2207.09055
- 代码/Code: https://github.com/LiWentomng/boxlevelset
**ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.09045
- 代码/Code: None
**Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach**
- 论文/Paper: http://arxiv.org/pdf/2207.09314
- 代码/Code: None
**DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.09988
- 代码/Code: https://github.com/dvlab-research/decouplenet
**CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.09778
- 代码/Code: https://github.com/saltoricristiano/cosmix-uda
**GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.09763
- 代码/Code: https://github.com/saltoricristiano/gipso-sfouda
**Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions**
- 论文/Paper: http://arxiv.org/pdf/2207.10667
- 代码/Code: https://github.com/theo2021/onda
**In Defense of Online Models for Video Instance Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.10661
- 代码/Code: https://github.com/wjf5203/vnext
**Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.10436
- 代码/Code: https://github.com/guoleisun/vss-mrcfa
**Long-tailed Instance Segmentation using Gumbel Optimized Loss**
- 论文/Paper: http://arxiv.org/pdf/2207.10936
- 代码/Code: https://github.com/kostas1515/GOL
**Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.10892
- 代码/Code: None
**Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.10866
- 代码/Code: None
**Self-Support Few-Shot Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.11549
- 代码/Code: https://github.com/fanq15/SSP
**Active Pointly-Supervised Instance Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.11493
- 代码/Code: None
**Video Mask Transfiner for High-Quality Video Instance Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.14012
- 代码/Code: None
**Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2208.00306
- 代码/Code: None
**Per-Clip Video Object Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2208.01924
- 代码/Code: https://github.com/pkyong95/PCVOS
**Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels**
- 论文/Paper: http://arxiv.org/pdf/2208.02804
- 代码/Code: None
## 医学图像分割/Medical Image Segmentation
**Personalizing Federated Medical Image Segmentation via Local Calibration**
- 论文/Paper: http://arxiv.org/pdf/2207.04655
- 代码/Code: https://github.com/jcwang123/FedLC
**Learning Topological Interactions for Multi-Class Medical Image Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.09654
- 代码/Code: https://github.com/topoxlab/topointeraction
## Knowledge Distillation
**Knowledge Condensation Distillation**
- 论文/Paper: http://arxiv.org/pdf/2207.05409
- 代码/Code: https://github.com/dzy3/KCD
**FedX: Unsupervised Federated Learning with Cross Knowledge Distillation**
- 论文/Paper: http://arxiv.org/pdf/2207.09158
- 代码/Code: None
## Action Detection
**ReAct: Temporal Action Detection with Relational Queries**
- 论文/Paper: http://arxiv.org/pdf/2207.07097
- 代码/Code: https://github.com/sssste/react
**Semi-Supervised Temporal Action Detection with Proposal-Free Masking**
- 论文/Paper: http://arxiv.org/pdf/2207.07059
- 代码/Code: https://github.com/sauradip/SPOT
**Temporal Action Detection with Global Segmentation Mask Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.06580
- 代码/Code: https://github.com/sauradip/TAGS
**Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions**
- 论文/Paper: http://arxiv.org/pdf/2207.11805
- 代码/Code: None
## Action Recognition
**Compound Prototype Matching for Few-shot Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.05515
- 代码/Code: None
**Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.09767
- 代码/Code: https://github.com/canbaoburen/CoDT
**Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2208.01897
- 代码/Code: None
## Anomaly Detection
**Registration based Few-Shot Anomaly Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.07361
- 代码/Code: https://github.com/MediaBrain-SJTU/RegAD
**Look at Adjacent Frames: Video Anomaly Detection without Offline Training**
- 论文/Paper: http://arxiv.org/pdf/2207.13798
- 代码/Code: None
## 人脸识别/Face Recognition
**Controllable and Guided Face Synthesis for Unconstrained Face Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.10180
- 代码/Code: None
## 人体姿态估计/Human Pose Estimation
**Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2207.02425
- 代码/Code: None
**Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks**
- 论文/Paper: http://arxiv.org/pdf/2207.05444
- 代码/Code: https://github.com/JiehongLin/Self-DPDN
**Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.06101
- 代码/Code: https://github.com/boeun-kim/gl-transformer
**TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance**
- 论文/Paper: http://arxiv.org/pdf/2207.07861
- 代码/Code: https://github.com/yanjh97/TransGrasp
**Pose for Everything: Towards Category-Agnostic Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2207.10387
- 代码/Code: https://github.com/luminxu/Pose-for-Everything
**C3P: Cross-domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation**
- 论文/Paper: None
- 代码/Code: https://github.com/wucunlin/C3P
**3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal**
- 论文/Paper: http://arxiv.org/pdf/2207.11061
- 代码/Code: https://github.com/MengHao666/HDR.
**Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection**
- 论文/Paper: http://arxiv.org/pdf/2207.10955
- 代码/Code: None
**ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization**
- 论文/Paper: http://arxiv.org/pdf/2207.13691
- 代码/Code: None
**RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2208.00237
- 代码/Code: None
**Neural Correspondence Field for Object Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2208.00113
- 代码/Code: None
**Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2208.00090
- 代码/Code: None
**CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation**
- 论文/Paper: http://arxiv.org/pdf/2208.00571
- 代码/Code: https://github.com/huawei-noah/noah-research/tree/master/CLIFF
## 人脸活体检测/Face Anti-Spoofing
**Generative Domain Adaptation for Face Anti-Spoofing**
- 论文/Paper: http://arxiv.org/pdf/2207.10015
- 代码/Code: None
## 人脸属性识别/Facial Attribute Recognition
**FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification**
- 论文/Paper: http://arxiv.org/pdf/2207.10888
- 代码/Code: https://github.com/Bernardo1998/FairGRAPE
## 人脸相关 / Face
**On Mitigating Hard Clusters for Face Clustering**
- 论文/Paper: http://arxiv.org/pdf/2207.11895
- 代码/Code: https://github.com/echoanran/On-Mitigating-Hard-Clusters.
**Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2207.11770
- 代码/Code: None
## Human Reconstruction
**3D Clothed Human Reconstruction in the Wild**
- 论文/Paper: http://arxiv.org/pdf/2207.10053
- 代码/Code: https://github.com/hygenie1228/clothwild_release
**UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation**
- 论文/Paper: http://arxiv.org/pdf/2207.09835
- 代码/Code: https://github.com/ShenhanQian/UNIF
**The One Where They Reconstructed 3D Humans and Environments in TV Shows**
- 论文/Paper: http://arxiv.org/pdf/2207.14279
- 代码/Code: None
## Relighting
**Geometry-aware Single-image Full-body Human Relighting**
- 论文/Paper: http://arxiv.org/pdf/2207.04750
- 代码/Code: None
**Relighting4D: Neural Relightable Human from Videos**
- 论文/Paper: http://arxiv.org/pdf/2207.07104
- 代码/Code: https://github.com/FrozenBurning/Relighting4D
## DeepFake
**Detecting and Recovering Sequential DeepFake Manipulation**
- 论文/Paper: http://arxiv.org/abs/2207.02204
- 代码/Code: https://github.com/rshaojimmy/seqdeepfake
**An Efficient Method for Face Quality Assessment on the Edge**
- 论文/Paper: http://arxiv.org/pdf/2207.09505
- 代码/Code: None
## Text Recognition
**Scene Text Recognition with Permuted Autoregressive Sequence Models**
- 论文/Paper: http://arxiv.org/pdf/2207.06966
- 代码/Code: https://github.com/baudm/parseq
**Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting**
- 论文/Paper: http://arxiv.org/pdf/2207.06694
- 代码/Code: https://github.com/hikopensource/davar-lab-ocr
**Contextual Text Block Detection towards Scene Text Understanding**
- 论文/Paper: http://arxiv.org/pdf/2207.12955
- 代码/Code: None
## 点云/Point Cloud
**Open-world Semantic Segmentation for LIDAR Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2207.01452
- 代码/Code: https://github.com/jun-cen/open_world_3d_semantic_segmentation
**2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2207.04397
- 代码/Code: None
**CPO: Change Robust Panorama to Point Cloud Localization**
- 论文/Paper: http://arxiv.org/pdf/2207.05317
- 代码/Code: None
**diffConv: Analyzing Irregular Point Clouds with an Irregular View**
- 论文/Paper: https://arxiv.org/abs/2111.14658
- 代码/Code: https://github.com/mmmmimic/diffConvNet
**CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement**
- 论文/Paper: http://arxiv.org/pdf/2207.08082
- 代码/Code: None
**Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2207.09084
- 代码/Code: None
**SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer**
- 论文/Paper: http://arxiv.org/pdf/2207.10315
- 代码/Code: https://github.com/hrzhou2/seedformer
**Dynamic 3D Scene Analysis by Point Cloud Accumulation**
- 论文/Paper: http://arxiv.org/pdf/2207.12394
- 代码/Code: None
**3D Siamese Transformer Network for Single Object Tracking on Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2207.11995
- 代码/Code: None
**Salient Object Detection for Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2207.11889
- 代码/Code: None
**MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud**
- 论文/Paper: http://arxiv.org/pdf/2207.14268
- 代码/Code: https://github.com/MichaelRamamonjisoa/MonteBoxFinder
## 光流估计/Flow Estimation
**Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation**
- 论文/Paper: http://arxiv.org/pdf/2207.07522
- 代码/Code: https://github.com/cwc1260/BiFlow
**What Matters for 3D Scene Flow Network**
- 论文/Paper: http://arxiv.org/pdf/2207.09143
- 代码/Code: https://github.com/IRMVLab/3DFlow
**Deep 360$^\circ$ Optical Flow Estimation Based on Multi-Projection Fusion**
- 论文/Paper: http://arxiv.org/pdf/2208.00776
- 代码/Code: None
## 深度估计/Depth Estimation
**Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches**
- 论文/Paper: http://arxiv.org/pdf/2207.04718
- 代码/Code: None
**Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics**
- 论文/Paper: http://arxiv.org/pdf/2207.04680
- 代码/Code: https://github.com/SenZHANG-GitHub/ekf-imu-depth
**RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation**
- 论文/Paper: http://arxiv.org/pdf/2207.11984
- 代码/Code: None
## 车道线检测/Lane Detection
**RCLane: Relay Chain Prediction for Lane Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.09399
- 代码/Code: None
## 轨迹预测/Trajectory Prediction
**Action-based Contrastive Learning for Trajectory Prediction**
- 论文/Paper: http://arxiv.org/pdf/2207.08664
- 代码/Code: None
**Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction**
- 论文/Paper: http://arxiv.org/pdf/2207.09953
- 代码/Code: https://github.com/inhwanbae/gpgraph
**Aware of the History: Trajectory Forecasting with the Local Behavior Data**
- 论文/Paper: http://arxiv.org/pdf/2207.09646
- 代码/Code: None
**Human Trajectory Prediction via Neural Social Physics**
- 论文/Paper: http://arxiv.org/pdf/2207.10435
- 代码/Code: https://github.com/realcrane/human-trajectory-prediction-via-neural-social-physics
**D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights**
- 论文/Paper: http://arxiv.org/pdf/2207.10398
- 代码/Code: https://github.com/vtp-tl/d2-tpred
## 超分/Super-Resolution
**Image Super-Resolution with Deep Dictionary**
- 论文/Paper: http://arxiv.org/pdf/2207.09228
- 代码/Code: None
**Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2207.09156
- 代码/Code: None
**CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2207.10345
- 代码/Code: https://github.com/cheeun/cadyq
**Towards Interpretable Video Super-Resolution via Alternating Optimization**
- 论文/Paper: http://arxiv.org/pdf/2207.10765
- 代码/Code: None
**Reference-based Image Super-Resolution with Deformable Attention Transformer**
- 论文/Paper: http://arxiv.org/pdf/2207.11938
- 代码/Code: None
## 图像去噪/Image Denoising
**Optimizing Image Compression via Joint Learning with Denoising**
- 论文/Paper: http://arxiv.org/pdf/2207.10869
- 代码/Code: https://github.com/felixcheng97/DenoiseCompression
## 图像去模糊/Image Deblurring
**Spatio-Temporal Deformable Attention Network for Video Deblurring**
- 论文/Paper: http://arxiv.org/pdf/2207.10852
- 代码/Code: None
**Efficient Video Deblurring Guided by Motion Magnitude**
- 论文/Paper: http://arxiv.org/pdf/2207.13374
- 代码/Code: None
## 图像复原/Image Restoration
**D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration**
- 论文/Paper: http://arxiv.org/pdf/2207.03294
- 代码/Code: https://github.com/zhaoyuzhi/D2HNet
## 图像增强/Image Enhancement
**Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression**
- 论文/Paper: http://arxiv.org/pdf/2207.10564
- 代码/Code: https://github.com/jinyeying/night-enhancement
## 检索/Image Retrieval
**Feature Representation Learning for Unsupervised Cross-domain Image Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2207.09721
- 代码/Code: https://github.com/conghuihu/ucdir
## 2D目标检测(2D Object Detection)
[4] Multimodal Object Detection via Probabilistic Ensembling (基于概率集成的多模态目标检测) (**Oral**)
[paper](https://arxiv.org/abs/2104.02904) | [code](https://github.com/Jamie725/RGBT-detection)
[3] Point-to-Box Network for Accurate Object Detection via Single Point Supervision (通过单点监督实现精确目标检测的点对盒网络)
[paper](https://arxiv.org/abs/2207.06827) | [code](https://github.com/ucas-vg/p2bnet)
[2] You Should Look at All Objects (您应该查看所有物体)
[paper](https://arxiv.org/abs/2207.07889) | [code](https://github.com/charlespikachu/yslao)
[1] Adversarially-Aware Robust Object Detector (对抗性感知鲁棒目标检测器)(**Oral**))
[paper](https://arxiv.org/abs/2207.06202) | [code](https://github.com/7eu7d7/robustdet)
## 3D目标检测(3D Object Detection)
[2] Densely Constrained Depth Estimator for Monocular 3D Object Detection (用于单目 3D 目标检测的密集约束深度估计器)
[paper](https://arxiv.org/abs/2207.10047) | [code](https://github.com/bravegroup/dcd)
[1] Rethinking IoU-based Optimization for Single-stage 3D Object Detection (重新思考基于 IoU 的单阶段 3D 对象检测优化)
[paper](https://arxiv.org/abs/2207.09332)
## 人物交互检测(HOI Detection)
[2] Discovering Human-Object Interaction Concepts via Self-Compositional Learning (通过自组合学习发现人-物交互概念)
[paper](https://arxiv.org/abs/2203.14272) | [code](https://github.com/zhihou7/scl; https://github.com/zhihou7/HOI-CL)
[1] Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection (面向基于 DETR 的人机交互检测的硬性查询挖掘)
[paper](https://arxiv.org/abs/2207.05293) | [code](https://github.com/muchhair/hqm)
## 显著性目标检测(Saliency Object Detection)
[1] KD-SCFNet: Towards More Accurate and Efficient Salient Object Detection via Knowledge Distillation (KD-SCFNet：通过知识蒸馏实现更准确、更高效的显着目标检测)
[paper](https://arxiv.org/abs/2208.02178) | [code](https://github.com/zhangjincv/kd-scfnet)
## 图像异常检测/表面缺陷检测(Anomally Detection in Image)
[2] DSR -- A dual subspace re-projection network for surface anomaly detection (DSR——用于表面异常检测的双子空间重投影网络)
[paper](https://arxiv.org/abs/2208.01521) | [code](https://github.com/vitjanz/dsr_anomaly_detection)
[1] DICE: Leveraging Sparsification for Out-of-Distribution Detection (DICE：利用稀疏化进行分布外检测)
[paper](https://arxiv.org/abs/2111.09805) | [code](https://github.com/deeplearning-wisc/dice)
## 实例分割(Instance Segmentation)
[3] In Defense of Online Models for Video Instance Segmentation (为视频实例分割的在线模型辩护) (**Oral**)
[paper](https://arxiv.org/abs/2207.10661)|[code](https://github.com/wjf5203/vnext)
[2] Box-supervised Instance Segmentation with Level Set Evolution (具有水平集进化的框监督实例分割)
[paper](https://arxiv.org/abs/2207.09055)
[1] OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers (OSFormer：使用 Transformers 进行单阶段伪装实例分割)
[paper](https://arxiv.org/abs/2207.02255) | [code](https://github.com/pjlallen/osformer)
## 语义分割(Semantic Segmentation)
[1] 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (2DPASS：激光雷达点云上的二维先验辅助语义分割)
[paper](https://arxiv.org/abs/2207.04397) | [code](https://github.com/yanx27/2dpass)
## 视频目标分割(Video Object Segmentation)
[1] Learning Quality-aware Dynamic Memory for Video Object Segmentation (视频对象分割的学习质量感知动态内存)
[paper](https://arxiv.org/abs/2207.07922) | [code](https://github.com/workforai/qdmn)
## 超分辨率(Super Resolution)
[3] Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution (学习高效图像超分辨率的串并行查找表)
[paper](https://arxiv.org/abs/2207.12987) | [code](https://github.com/zhjy2016/splut)
[2] Efficient Meta-Tuning for Content-aware Neural Video Delivery (内容感知神经视频交付的高效元调整)
[paper](https://arxiv.org/abs/2207.09691) | [code](https://github.com/neural-video-delivery/emt-pytorch-eccv2022)
[1] Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks (超低精度超分辨率网络的动态双可训练边界)
[paper](https://arxiv.org/abs/2203.03844) | [code](https://github.com/zysxmu/ddtb)
## 图像复原/图像增强/图像重建(Image Restoration/Image Reconstruction)
[9] Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression (无监督夜间图像增强：当层分解遇到光效抑制时)
[paper](https://arxiv.org/abs/2207.10564) | [code](https://github.com/jinyeying/night-enhancement)
[8] Bringing Rolling Shutter Images Alive with Dual Reversed Distortion(通过双重反转失真使滚动快门图像重现) (**Oral**)
[paper](https://arxiv.org/abs/2203.06451) | [code](https://github.com/zzh-tech/dual-reversed-rs)
[7] Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression (无监督夜间图像增强：当层分解遇到光效抑制时)
[paper](https://arxiv.org/abs/2207.10564) | [code](https://github.com/jinyeying/night-enhancement)
[6] Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization (用于基于深度示例的着色的语义稀疏着色网络)
[paper](https://arxiv.org/abs/2112.01335)
[5] Geometry-aware Single-image Full-body Human Relighting (几何感知单图像全身人体重新照明)
[paper](https://arxiv.org/abs/2207.04750)
[4] Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion (单目全景深度补全的多模态蒙面预训练)
[paper](https://arxiv.org/abs/2203.09855)
[3] PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation (PanoFormer：用于室内 360 深度估计的全景变压器)
[paper](https://arxiv.org/abs/2203.09283)
[2] SESS: Saliency Enhancing with Scaling and Sliding (SESS：通过缩放和滑动增强显着性)
[paper](https://arxiv.org/abs/2207.01769)
[1] RigNet: Repetitive Image Guided Network for Depth Completion (RigNet：用于深度补全的重复图像引导网络)
[paper](https://arxiv.org/abs/2107.13802)
## 图像去阴影/去反射(Image Shadow Removal/Image Reflection Removal)
[1] Deep Portrait Delighting (深度人像去光)
[paper](https://arxiv.org/abs/2203.12088)
## 图像去噪(Image Denoising/Deblurring/Dehazing)
[3] Perceiving and Modeling Density is All You Need for Image Dehazing (感知和建模密度是图像去雾所需的全部) (**Oral**)
[paper](https://arxiv.org/abs/2111.09733) |[code](https://github.com/Owen718/Perceiving-and-Modeling-Density-is-All-You-Need-for-Image-Dehazing)
[2] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance (来自模糊的动画：具有运动引导的多模态模糊分解)
[paper](https://arxiv.org/abs/2207.10123) | [code](https://github.com/zzh-tech/Animation-from-Blur)
[1] Deep Semantic Statistics Matching (D2SM) Denoising Network (深度语义统计匹配（D2SM）去噪网络)
[paper](https://arxiv.org/abs/2207.09302)
## 图像外推(Image Outpainting)
[1] Outpainting by Queries (通过查询进行外推)
[paper](https://arxiv.org/abs/2207.05312) | [code](https://github.com/kaiseem/queryotr)
## 风格迁移(Style Transfer)
[1] CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer (CCPL：通用风格迁移的对比相干性保留损失) (**Oral**)
[paper](https://arxiv.org/abs/2207.04808) | [code](https://github.com/JarrentWu1031/CCPL)
## 视频编辑(Video Editing)
[3] AlphaVC: High-Performance and Efficient Learned Video Compression (AlphaVC：高性能和高效的学习视频压缩)
[paper](https://arxiv.org/abs/2207.14678)
[2] Improving the Perceptual Quality of 2D Animation Interpolation (提高二维动画插值的感知质量)
[paper](https://arxiv.org/abs/2111.12792) | [code](https://github.com/shuhongchen/eisai-anime-interpolator)
[1] Real-Time Intermediate Flow Estimation for Video Frame Interpolation(视频帧插值的实时中间流估计)
[paper](https://arxiv.org/abs/2011.06294) | [code](https://github.com/MegEngine/arXiv2020-RIFE)
## 视频修复(Video Inpainting)
[1] Error Compensation Framework for Flow-Guided Video Inpainting (流引导视频修复的误差补偿框架)
[paper](https://arxiv.org/abs/2207.10391)
## 视频去模糊(Video Deblurring)
[2] Event-guided Deblurring of Unknown Exposure Time Videos (未知曝光时间视频的事件引导去模糊) (**Oral**)
[paper](https://arxiv.org/abs/2112.06988)
[1] Efficient Video Deblurring Guided by Motion Magnitude (由运动幅度引导的高效视频去模糊)
[paper](https://arxiv.org/abs/2207.13374) | [code](https://github.com/sollynoay/mmp-rnn)
## 行为识别/行为识别/动作识别/检测/分割(Action/Activity Recognition)
[4] GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality (GaitEdge：超越普通的端到端步态识别，提高实用性)
[paper](https://arxiv.org/abs/2203.03972) | [code](https://github.com/shiqiyu/opengait)
[3] Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition (用于跨域 3D 动作识别的协作域共享和特定于目标的特征聚类)
[paper](https://arxiv.org/abs/2207.09767) | [code](https://github.com/canbaoburen/CoDT)
[2] ReAct: Temporal Action Detection with Relational Queries (ReAct：使用关系查询的时间动作检测)
[paper](https://arxiv.org/abs/2207.07097) | [code](https://github.com/sssste/react)
[1] Hunting Group Clues with Transformers for Social Group Activity Recognition (用Transformers寻找群体线索用于社会群体活动识别)
[paper](https://arxiv.org/abs/2207.05254)
## 行人重识别/检测(Re-Identification/Detection)
[1] PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification(PASS：用于人员重新识别的部分感知自我监督预训练)
[paper](https://arxiv.org/abs/2203.03931) | [code](https://github.com/casia-iva-lab/pass-reid)
## 视频理解(Video Understanding)
[1] GraphVid: It Only Takes a Few Nodes to Understand a Video (GraphVid：只需几个节点即可理解视频) (**Oral**)
[paper](https://arxiv.org/abs/2207.01375)
## 图像/视频检索(Image/Video Retrieval)
[6] Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding (打乱的视频是否有益于时间偏差问题：一种新的时间接地训练框架)
[paper](https://arxiv.org/abs/2207.14698) |[code](https://github.com/haojc/shufflingvideosfortsg)
[5] Feature Representation Learning for Unsupervised Cross-domain Image Retrieval (无监督跨域图像检索的特征表示学习)
[paper](https://arxiv.org/abs/2207.09721) | [code](https://github.com/conghuihu/ucdir)
[4] LocVTP: Video-Text Pre-training for Temporal Localization (LocVTP：时间定位的视频文本预训练)
[paper](https://arxiv.org/abs/2207.10362) | [code](https://github.com/mengcaopku/locvtp)
[3] Deep Hash Distillation for Image Retrieval (用于图像检索的深度哈希蒸馏)
[paper](https://arxiv.org/abs/2112.08816) | [code](https://github.com/youngkyunjang/deep-hash-distillation)
[2] TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval (TS2-Net：用于文本视频检索的令牌移位和选择转换器)
[paper](https://arxiv.org/abs/2207.07852) | [code](https://github.com/yuqi657/ts2_net)
[1] Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval (轻量级注意力特征融合：文本到视频检索的新基线)
[paper](https://arxiv.org/abs/2112.01832)
## 光流/运动估计(Flow/Motion Estimation)
[1] Deep 360∘ Optical Flow Estimation Based on Multi-Projection Fusion (基于多投影融合的深度360∘光流估计)
[paper](https://arxiv.org/abs/2208.00776)
## 视觉定位/位姿估计(Visual Localization/Pose Estimation)
[4] Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction (被忽视的姿势实际上是有意义的：为人体运动预测提炼特权知识)
[paper](https://arxiv.org/abs/2208.01302)
[3] 3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal (通过手部去遮挡和移除的 3D 交互手部姿势估计)
[paper](https://arxiv.org/abs/2207.11061) | [code](https://github.com/menghao666/hdr)
[2] Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration (基于隐式空间校准的 Transformer 的弱监督目标定位)
[paper] (https://arxiv.org/abs/2207.10447) | [code](https://github.com/164140757/scm)
[1] Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks (使用自监督深度先验变形网络的类别级 6D 对象姿势和大小估计)
[paper](https://arxiv.org/abs/2207.05444) | [code](https://github.com/jiehonglin/self-dpdn)
## 深度估计(Depth Estimation)
[1] Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches ((使用最优对抗补丁对单目深度估计进行物理攻击))
[paper](https://arxiv.org/abs/2207.04718)
## 人脸识别/检测(Facial Recognition/Detection)
[1] Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation (通过场景消歧实现种族无偏肤色估计)
[paper](https://arxiv.org/abs/2205.03962) | [code](https://trust.is.tue.mpg.de/)
## 人脸识别/检测(Facial Recognition/Detection)
[1] MoFaNeRF: Morphable Facial Neural Radiance Field (MoFaNeRF：可变形面部神经辐射场)
[paper](https://arxiv.org/abs/2112.02308) |[code](https://github.com/zhuhao-nju/mofanerf)
## 三维重建(3D Reconstruction)
[1] DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras (DiffuStereo：使用稀疏相机通过基于扩散的立体进行高质量人体重建)
[paper](https://arxiv.org/abs/2207.08000)
## 场景重建/视图合成/新视角合成(Novel View Synthesis)
[1] Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields (Sem2NeRF：将单视图语义掩码转换为神经辐射场)
[paper](https://arxiv.org/abs/2203.10821) | [code](https://github.com/donydchen/sem2nerf)
## 文本检测/识别/理解(Text Detection/Recognition/Understanding)
[5] Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition (了解艺术字：用于场景文本识别的角引导转换器) (**Oral**)
[paper](https://arxiv.org/abs/2208.00438) | [code](https://github.com/xdxie/wordart)
[4] Contextual Text Block Detection towards Scene Text Understanding (面向场景文本理解的上下文文本块检测)
[paper](https://arxiv.org/abs/2207.12955)
[3] PromptDet: Towards Open-vocabulary Detection using Uncurated Images (PromptDet：使用未经处理的图像进行开放词汇检测)
[paper](https://arxiv.org/abs/2203.16513) |[code](https://github.com/fcjian/PromptDet)
[2] End-to-End Video Text Spotting with Transformer (使用 Transformer 的端到端视频文本定位) (**Oral**)
[paper](https://arxiv.org/abs/2203.10539) | [code](https://github.com/weijiawu/transdetr)
[1] Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting (用于经济高效的端到端文本定位的动态低分辨率蒸馏)
[paper](https://arxiv.org/abs/2207.06694) | [code](https://github.com/hikopensource/davar-lab-ocr)
## GAN/生成式/对抗式(GAN/Generative/Adversarial)
[7] Learning Energy-Based Models With Adversarial Training (通过对抗训练学习基于能量的模型)
[paper](https://arxiv.org/abs/2012.06568) | [code](https://github.com/xuwangyin/AT-EBMs)
[6] Adaptive Image Transformations for Transfer-based Adversarial Attack (基于传输的对抗性攻击的自适应图像转换)
[paper](https://arxiv.org/abs/2111.13844)
[5] Generative Multiplane Images: Making a 2D GAN 3D-Aware (生成多平面图像：让一个2D GAN变得3D感知)
[paper](https://arxiv.org/abs/2207.10642) | [code](https://github.com/apple/ml-gmpi)
[4] Eliminating Gradient Conflict in Reference-based Line-Art Colorization (消除基于参考的艺术线条着色中的梯度冲突)
[paper](https://arxiv.org/abs/2207.06095) | [code](https://github.com/kunkun0w0/sga)
[3] WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation (WaveGAN：用于高保真少镜头图像生成的频率感知 GAN)
[paper](https://arxiv.org/abs/2207.07288) | [code](https://github.com/kobeshegu/eccv2022_wavegan)
[2] FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs (FakeCLR：探索对比学习以解决数据高效 GAN 中的潜在不连续性)
[paper](https://arxiv.org/abs/2207.08630) | [code](https://github.com/iceli1007/fakeclr)
[1] UniCR: Universally Approximated Certified Robustness via Randomized Smoothing (UniCR：通过随机平滑获得普遍近似的认证鲁棒性)
[paper](https://arxiv.org/abs/2207.02152)
## 图像生成/图像合成(Image Generation/Image Synthesis)
[1] PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation (PixelFolder：用于图像生成的高效渐进式像素合成网络)
[paper](https://arxiv.org/abs/2204.00833) | [code](https://github.com/blinghe/pixelfolder)
## 视觉预测(Vision-based Prediction)
[1] D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights (D2-TPred：交通灯下轨迹预测的不连续依赖)
[paper](https://arxiv.org/abs/2207.10398) | [code](https://github.com/vtp-tl/d2-tpred)
## Transformer
[5] Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding (用于长期 4D 点云视频理解的 Point Primitive Transformer)
[paper](https://arxiv.org/abs/2208.00281)
[4] Improving Vision Transformers by Revisiting High-frequency Components (通过重新审视高频组件来改进视觉变压器)
[paper](https://arxiv.org/abs/2204.00993) | [code](https://github.com/jiawangbai/HAT)
[3] Transformer with Implicit Edges for Particle-based Physics Simulation (用于基于粒子的物理模拟的隐式边缘变压器)
[paper](https://arxiv.org/abs/2207.10860) | [code](https://github.com/ftbabi/tie_eccv2022)
[2] ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer (ScalableViT：重新思考 Vision Transformer 面向上下文的泛化)
[paper](https://arxiv.org/abs/2203.10790) | [code](https://github.com/yangr116/scalablevit)
[1] Visual Prompt Tuning (视觉提示调整)
[paper](https://arxiv.org/abs/2203.12119) | [code](https://github.com/KMnP/vpt)
## 神经网络架构搜索(NAS)
[3] ScaleNet: Searching for the Model to Scale (ScaleNet：搜索要扩展的模型)
[paper](https://arxiv.org/abs/2207.07267) | [code](https://github.com/luminolx/scalenet)
[2] Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning (集成知识引导的子网络搜索和过滤器修剪微调)
[paper](https://arxiv.org/abs/2203.02651) | [code](https://github.com/sseung0703/ekg)
[1] EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs (EAGAN：GAN 的高效两阶段进化架构搜索)
[paper](https://arxiv.org/abs/2111.15097) | [code](https://github.com/marsggbo/EAGAN)
## 归一化/正则化(Batch Normalization)
[1] Fine-grained Data Distribution Alignment for Post-Training Quantization (训练后量化的细粒度数据分布对齐) (**Oral**)
[paper](https://arxiv.org/abs/2109.04186) | [code](https://github.com/zysxmu/fdda)
## 22. 图像特征提取与匹配(Image feature extraction and matching)
[1] Unsupervised Deep Multi-Shape Matching (无监督深度多形状匹配)
[paper](https://arxiv.org/abs/2207.09610)
## 噪声标签(Noisy Label)
[1] Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection (通过有效的转移矩阵估计学习噪声标签以对抗标签错误校正)
[paper](https://arxiv.org/abs/2111.14932)
## 长尾分布(Long-Tailed Distribution)
[2] Long-tailed Instance Segmentation using Gumbel Optimized Loss (使用 Gumbel 优化损失的长尾实例分割)
[paper](https://arxiv.org/abs/2207.10936) | [code](https://github.com/kostas1515/gol)
[1] Identifying Hard Noise in Long-Tailed Sample Distribution (识别长尾样本分布中的硬噪声) (**Oral**)
[paper](https://arxiv.org/abs/2207.13378)|[code](https://github.com/yxymessi/h2e-framework)
## 知识蒸馏(Knowledge Distillation)
[3] Prune Your Model Before Distill It (在蒸馏之前修剪你的模型)
[paper](https://arxiv.org/abs/2109.14960)|[code](https://github.com/ososos888/prune-then-distill)
[2] Efficient One Pass Self-distillation with Zipf's Label Smoothing (使用 Zipf 的标签平滑实现高效的单程自蒸馏)
[paper](https://arxiv.org/abs/2207.12980) | [code](https://github.com/megvii-research/zipfls)
[1] Knowledge Condensation Distillation (知识浓缩蒸馏)
[paper](https://arxiv.org/abs/2207.05409) | [code](https://github.com/dzy3/kcd)
## 半监督学习/弱监督学习/无监督学习/自监督学习(Self-supervised Learning/Semi-supervised Learning)
[8] Acknowledging the Unknown for Multi-label Learning with Single Positive Labels (用单个正标签承认未知的多标签学习)
[paper](https://arxiv.org/abs/2203.16219) | [code](https://github.com/correr-zhou/spml-acktheunknown)
[7] W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection (W2N：目标检测从弱监督切换到嘈杂监督)
[paper](https://arxiv.org/abs/2207.12104) | [code](https://github.com/1170300714/w2n_wsod)
[6] CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation (CA-SSL：用于检测和分割的与类别无关的半监督学习)
[paper](https://arxiv.org/abs/2112.04966) | [code](https://github.com/dvlab-research/Entity)
[5] FedX: Unsupervised Federated Learning with Cross Knowledge Distillation (FedX：具有交叉知识蒸馏的无监督联合学习)
[paper](https://arxiv.org/abs/2207.09158)
[4] Synergistic Self-supervised and Quantization Learning (协同自监督和量化学习)
[paper](https://arxiv.org/abs/2207.05432) | [code](https://github.com/megvii-research/ssql-eccv2022)
[3] Contrastive Deep Supervision (对比深度监督)
[paper](https://arxiv.org/abs/2207.05306) | [code](https://github.com/archiplab-linfengzhang/contrastive-deep-supervision)
[2] Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection (稠密教师：用于半监督目标检测的稠密伪标签)
[paper](https://arxiv.org/abs/2207.02541)
[1] Image Coding for Machines with Omnipotent Feature Learning (具有全能特征学习的机器的图像编码)
[paper](https://arxiv.org/abs/2207.01932)
## 视觉-语言（Vision-language）
[2] Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting (语言问题：用于场景文本检测和识别的弱监督视觉语言预训练方法) (**Oral**)
[paper](https://arxiv.org/abs/2203.03911)
[1] Contrastive Vision-Language Pre-training with Limited Resources (资源有限的对比视觉语言预训练)
[paper](https://arxiv.org/abs/2112.09331) | [code](https://github.com/zerovl/zerovl)
## 其他
**Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets**
- 论文：https://arxiv.org/abs/2007.09654
- 代码：https://github.com/wutong16/DistributionBalancedLoss
**A Generic Visualization Approach for Convolutional Neural Networks**
- 论文：https://arxiv.org/abs/2007.09748
- 代码：https://github.com/ahmdtaha/constrained_attention_filter
**Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches**
- 主页：https://williamyang1991.github.io/projects/ECCV2020
- 论文：https://arxiv.org/abs/2001.02890
- 代码：https://github.com/TAMU-VITA/DeepPS
**GIQA: Generated Image Quality Assessment**
- 论文：https://arxiv.org/abs/2003.08932
- 代码：https://github.com/cientgu/GIQA
**Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling**
- 主页：[http://structured3d-dataset.org](http://structured3d-dataset.org/)
- 论文：https://arxiv.org/abs/1908.00222
- 代码：https://github.com/bertjiazheng/Structured3D
**AiR: Attention with Reasoning Capability**
- 论文：暂无
- 代码：https://github.com/szzexpoi/AiR
- 数据集：https://github.com/szzexpoi/AiR
**Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets**
- 论文/Paper: http://arxiv.org/pdf/2207.01573
- 代码/Code: None
**GraphVid: It Only Takes a Few Nodes to Understand a Video**
- 论文/Paper: http://arxiv.org/pdf/2207.01375
- 代码/Code: None
**Target-absent Human Attention**
- 论文/Paper: http://arxiv.org/pdf/2207.01166
- 代码/Code: None
**Lottery Ticket Hypothesis for Spiking Neural Networks**
- 论文/Paper: http://arxiv.org/pdf/2207.01382
- 代码/Code: None
**Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality**
- 论文/Paper: http://arxiv.org/abs/2207.02119
- 代码/Code: https://github.com/kingjamessong/orthoimprovecond
**AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture**
- 论文/Paper: http://arxiv.org/abs/2207.02031
- 代码/Code: https://github.com/lizhe00/AvatarCap.
**DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images**
- 论文/Paper: http://arxiv.org/abs/2207.02025
- 代码/Code: None
**Learning Local Implicit Fourier Representation for Image Warping**
- 论文/Paper: http://arxiv.org/abs/2207.01831
- 代码/Code: https://github.com/jaewon-lee-b/ltew
**SESS: Saliency Enhancing with Scaling and Sliding**
- 论文/Paper: http://arxiv.org/abs/2207.01769
- 代码/Code: https://github.com/neouyghur/sess
**TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts**
- 论文/Paper: http://arxiv.org/abs/2207.01696
- 代码/Code: None
**DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.02606
- 代码/Code: None
**FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling**
- 论文/Paper: http://arxiv.org/pdf/2207.02595
- 代码/Code: https://github.com/timothyhtimothy/fast-vqa
**Towards Realistic Semi-Supervised Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.02269
- 代码/Code: None
**OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.02261
- 代码/Code: None
**Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.02598
- 代码/Code: None
**Factorizing Knowledge in Neural Networks**
- 论文/Paper: http://arxiv.org/pdf/2207.03337
- 代码/Code: None
**SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning**
- 论文/Paper: http://arxiv.org/pdf/2207.03677
- 代码/Code: https://github.com/RICE-EIC/SuperTickets.
**Video Dialog as Conversation about Objects Living in Space-Time**
- 论文/Paper: http://arxiv.org/pdf/2207.03656
- 代码/Code: https://github.com/hoanganhpham1006/COST
**Demystifying Unsupervised Semantic Correspondence Estimation**
- 论文/Paper: http://arxiv.org/pdf/2207.05054
- 代码/Code: None
**A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision**
- 论文/Paper: http://arxiv.org/pdf/2207.04997
- 代码/Code: None
**DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization**
- 论文/Paper: http://arxiv.org/pdf/2207.04788
- 代码/Code: None
**Batch-efficient EigenDecomposition for Small and Medium Matrices**
- 论文/Paper: http://arxiv.org/pdf/2207.04228
- 代码/Code: None
**Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space**
- 论文/Paper: http://arxiv.org/pdf/2207.04161
- 代码/Code: None
**Camera Pose Auto-Encoders for Improving Pose Regression**
- 论文/Paper: http://arxiv.org/pdf/2207.05530
- 代码/Code: https://github.com/yolish/camera-pose-auto-encoders
**Synergistic Self-supervised and Quantization Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.05432
- 代码/Code: https://github.com/megvii-research/SSQL-ECCV2022
**Frequency Domain Model Augmentation for Adversarial Attack**
- 论文/Paper: http://arxiv.org/pdf/2207.05382
- 代码/Code: https://github.com/yuyang-long/ssa
**Organic Priors in Non-Rigid Structure from Motion**
- 论文/Paper: http://arxiv.org/pdf/2207.06262
- 代码/Code: None
**Unsupervised Visual Representation Learning by Synchronous Momentum Grouping**
- 论文/Paper: http://arxiv.org/pdf/2207.06167
- 代码/Code: None
**Learning Implicit Templates for Point-Based Clothed Human Modeling**
- 论文/Paper: http://arxiv.org/pdf/2207.06955
- 代码/Code: https://github.com/jsnln/fite
**BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks**
- 论文/Paper: http://arxiv.org/pdf/2207.06873
- 代码/Code: https://github.com/explainableml/bayescap
**Lipschitz Continuity Retained Binary Neural Network**
- 论文/Paper: http://arxiv.org/pdf/2207.06540
- 代码/Code: https://github.com/42shawn/lcr_bnn
**3D Instances as 1D Kernels**
- 论文/Paper: http://arxiv.org/pdf/2207.07372
- 代码/Code: https://github.com/W1zheng/DKNet
**ScaleNet: Searching for the Model to Scale**
- 论文/Paper: http://arxiv.org/pdf/2207.07267
- 代码/Code: https://github.com/luminolx/ScaleNet
**Rethinking Data Augmentation for Robust Visual Question Answering**
- 论文/Paper: http://arxiv.org/pdf/2207.08739
- 代码/Code: https://github.com/ItemZheng/KDDAug
**Semantic Novelty Detection via Relational Reasoning**
- 论文/Paper: http://arxiv.org/pdf/2207.08699
- 代码/Code: None
**Label2Label: A Language Modeling Framework for Multi-Attribute Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.08677
- 代码/Code: https://github.com/Li-Wanhua/Label2Label.
**Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes**
- 论文/Paper: http://arxiv.org/pdf/2207.08656
- 代码/Code: https://github.com/UncleMEDM/InstPIFu
**Class-incremental Novel Class Discovery**
- 论文/Paper: http://arxiv.org/pdf/2207.08605
- 代码/Code: https://github.com/OatmealLiu/class-iNCD
**MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects**
- 论文/Paper: http://arxiv.org/pdf/2207.08403
- 代码/Code: None
**SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement**
- 论文/Paper: http://arxiv.org/pdf/2207.08351
- 代码/Code: None
**Learning with Recoverable Forgetting**
- 论文/Paper: http://arxiv.org/pdf/2207.08224
- 代码/Code: None
**Zero-Shot Temporal Action Detection via Vision-Language Prompting**
- 论文/Paper: http://arxiv.org/pdf/2207.08184
- 代码/Code: https://github.com/sauradip/STALE
**Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal**
- 论文/Paper: http://arxiv.org/pdf/2207.08178
- 代码/Code: None
**FashionViL: Fashion-Focused Vision-and-Language Representation Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.08150
- 代码/Code: https://github.com/BrandonHanx/mmf.
**E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context**
- 论文/Paper: http://arxiv.org/pdf/2207.08132
- 代码/Code: https://github.com/kyleleey/E-NeRV.
**Neural Color Operators for Sequential Image Retouching**
- 论文/Paper: http://arxiv.org/pdf/2207.08080
- 代码/Code: https://github.com/amberwangyili/neurop
**Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching**
- 论文/Paper: http://arxiv.org/pdf/2207.07932
- 代码/Code: None
**JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes**
- 论文/Paper: http://arxiv.org/pdf/2207.07895
- 代码/Code: at~\href{https://github.com/sunnyHelen/JPerceiver}{https://github.com/sunnyHelen/JPerceiver}.
**You Should Look at All Objects**
- 论文/Paper: http://arxiv.org/pdf/2207.07889
- 代码/Code: None
**NeFSAC: Neurally Filtered Minimal Samples**
- 论文/Paper: http://arxiv.org/pdf/2207.07872
- 代码/Code: https://github.com/cavalli1234/NeFSAC.
**CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS**
- 论文/Paper: http://arxiv.org/pdf/2207.07868
- 代码/Code: https://github.com/walkerning/aw_nas.
**Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations**
- 论文/Paper: http://arxiv.org/pdf/2207.07826
- 代码/Code: https://github.com/WentaoChen0813/CDCS-FSL
**Self-calibrating Photometric Stereo by Neural Inverse Rendering**
- 论文/Paper: http://arxiv.org/pdf/2207.07815
- 代码/Code: https://github.com/junxuan-li/SCPS-NIR
**Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.07783
- 代码/Code: https://github.com/SRA2/SPELL
**Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search**
- 论文/Paper: http://arxiv.org/pdf/2207.08350
- 代码/Code: None
**PoserNet: Refining Relative Camera Poses Exploiting Object Detections**
- 论文/Paper: http://arxiv.org/pdf/2207.09445
- 代码/Code: https://github.com/IIT-PAVIS/PoserNet
**Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos**
- 论文/Paper: http://arxiv.org/pdf/2207.09425
- 代码/Code: None
**Deep Semantic Statistics Matching (D2SM) Denoising Network**
- 论文/Paper: http://arxiv.org/pdf/2207.09302
- 代码/Code: None
**3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform**
- 论文/Paper: http://arxiv.org/pdf/2207.09291
- 代码/Code: https://github.com/Starrah/DMH-Net
**NDF: Neural Deformable Fields for Dynamic Human Modelling**
- 论文/Paper: http://arxiv.org/pdf/2207.09193
- 代码/Code: None
**Self-Supervision Can Be a Good Few-Shot Learner**
- 论文/Paper: http://arxiv.org/pdf/2207.09176
- 代码/Code: https://github.com/bbbdylan/unisiam
**ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild**
- 论文/Paper: http://arxiv.org/pdf/2207.09137
- 代码/Code: https://github.com/bytedance/particle-sfm.
**MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views**
- 论文/Paper: http://arxiv.org/pdf/2207.09086
- 代码/Code: None
**SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data**
- 论文/Paper: http://arxiv.org/pdf/2207.08979
- 代码/Code: None
**Prior-Guided Adversarial Initialization for Fast Adversarial Training**
- 论文/Paper: http://arxiv.org/pdf/2207.08859
- 代码/Code: https://github.com/jiaxiaojunQAQ/FGSM-PGI.
**Prior Knowledge Guided Unsupervised Domain Adaptation**
- 论文/Paper: http://arxiv.org/pdf/2207.08877
- 代码/Code: https://github.com/tsun/KUDA
**Discover and Mitigate Unknown Biases with Debiasing Alternate Networks**
- 论文/Paper: http://arxiv.org/pdf/2207.10077
- 代码/Code: https://github.com/zhihengli-UR/DebiAN
**Difficulty-Aware Simulator for Open Set Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.10024
- 代码/Code: https://github.com/wjun0830/difficulty-aware-simulator
**Tailoring Self-Supervision for Supervised Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.10023
- 代码/Code: https://github.com/wjun0830/localizable-rotation
**Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain**
- 论文/Paper: http://arxiv.org/pdf/2207.10002
- 代码/Code: https://github.com/boschresearch/sourcegen
**Temporal and cross-modal attention for audio-visual zero-shot learning**
- 论文/Paper: http://arxiv.org/pdf/2207.09966
- 代码/Code: https://github.com/explainableml/tcaf-gzsl
**Telepresence Video Quality Assessment**
- 论文/Paper: http://arxiv.org/pdf/2207.09956
- 代码/Code: None
**Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing**
- 论文/Paper: http://arxiv.org/pdf/2207.09935
- 代码/Code: None
**Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification**
- 论文/Paper: http://arxiv.org/pdf/2207.09884
- 代码/Code: None
**Discrete-Constrained Regression for Local Counting Models**
- 论文/Paper: http://arxiv.org/pdf/2207.09865
- 代码/Code: None
**Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction**
- 论文/Paper: http://arxiv.org/pdf/2207.09705
- 代码/Code: None
**Efficient Meta-Tuning for Content-aware Neural Video Delivery**
- 论文/Paper: http://arxiv.org/pdf/2207.09691
- 代码/Code: https://github.com/neural-video-delivery/emt-pytorch-eccv2022
**Object-Compositional Neural Implicit Surfaces**
- 论文/Paper: http://arxiv.org/pdf/2207.09686
- 代码/Code: https://github.com/qianyiwu/objsdf
**Explaining Deepfake Detection by Analysing Image Matching**
- 论文/Paper: http://arxiv.org/pdf/2207.09679
- 代码/Code: https://github.com/megvii-research/fst-matching
**ERA: Expert Retrieval and Assembly for Early Action Prediction**
- 论文/Paper: http://arxiv.org/pdf/2207.09675
- 代码/Code: None
**Perspective Phase Angle Model for Polarimetric 3D Reconstruction**
- 论文/Paper: http://arxiv.org/pdf/2207.09629
- 代码/Code: https://github.com/gcchen97/ppa4p3d
**Explicit Image Caption Editing**
- 论文/Paper: http://arxiv.org/pdf/2207.09625
- 代码/Code: https://github.com/baaaad/ece
**Unsupervised Deep Multi-Shape Matching**
- 论文/Paper: http://arxiv.org/pdf/2207.09610
- 代码/Code: None
**Contributions of Shape, Texture, and Color in Visual Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.09510
- 代码/Code: https://github.com/gyhandy/humanoid-vision-engine
**Novel Class Discovery without Forgetting**
- 论文/Paper: http://arxiv.org/pdf/2207.10659
- 代码/Code: None
**Approximate Differentiable Rendering with Algebraic Surfaces**
- 论文/Paper: http://arxiv.org/pdf/2207.10606
- 代码/Code: None
**FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling**
- 论文/Paper: http://arxiv.org/pdf/2207.10392
- 代码/Code: None
**Error Compensation Framework for Flow-Guided Video Inpainting**
- 论文/Paper: http://arxiv.org/pdf/2207.10391
- 代码/Code: None
**NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.10388
- 代码/Code: None
**Temporal Saliency Query Network for Efficient Video Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.10379
- 代码/Code: None
**UFO: Unified Feature Optimization**
- 论文/Paper: http://arxiv.org/pdf/2207.10341
- 代码/Code: None
**OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search**
- 论文/Paper: http://arxiv.org/pdf/2207.10320
- 代码/Code: None
**Towards Accurate Open-Set Recognition via Background-Class Regularization**
- 论文/Paper: http://arxiv.org/pdf/2207.10287
- 代码/Code: None
**Grounding Visual Representations with Texts for Domain Generalization**
- 论文/Paper: http://arxiv.org/pdf/2207.10285
- 代码/Code: https://github.com/mswzeus/gvrt
**SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks**
- 论文/Paper: http://arxiv.org/pdf/2207.10237
- 代码/Code: https://github.com/apple/ml-spin
**MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis**
- 论文/Paper: http://arxiv.org/pdf/2207.10228
- 代码/Code: None
**On Label Granularity and Object Localization**
- 论文/Paper: http://arxiv.org/pdf/2207.10225
- 代码/Code: https://github.com/visipedia/inat_loc
**Spotting Temporally Precise, Fine-Grained Events in Video**
- 论文/Paper: http://arxiv.org/pdf/2207.10213
- 代码/Code: None
**Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles**
- 论文/Paper: http://arxiv.org/pdf/2207.10172
- 代码/Code: None
**GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.10158
- 代码/Code: https://github.com/seleucia/goca
**Visual Knowledge Tracing**
- 论文/Paper: http://arxiv.org/pdf/2207.10157
- 代码/Code: https://github.com/nkondapa/visualknowledgetracing
**Tackling Long-Tailed Category Distribution Under Domain Shifts**
- 论文/Paper: http://arxiv.org/pdf/2207.10150
- 代码/Code: https://github.com/guxiao0822/lt-ds
**Latent Discriminant deterministic Uncertainty**
- 论文/Paper: http://arxiv.org/pdf/2207.10130
- 代码/Code: https://github.com/ensta-u2is/ldu
**Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance**
- 论文/Paper: http://arxiv.org/pdf/2207.10123
- 代码/Code: https://github.com/zzh-tech/Animation-from-Blur.
**Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach**
- 论文/Paper: http://arxiv.org/pdf/2207.10188
- 代码/Code: None
**Structural Causal 3D Reconstruction**
- 论文/Paper: http://arxiv.org/pdf/2207.10156
- 代码/Code: None
**AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation**
- 论文/Paper: http://arxiv.org/pdf/2207.10141
- 代码/Code: None
**Continual Variational Autoencoder Learning via Online Cooperative Memorization**
- 论文/Paper: http://arxiv.org/pdf/2207.10131
- 代码/Code: https://github.com/dtuzi123/ovae
**Panoptic Scene Graph Generation**
- 论文/Paper: http://arxiv.org/pdf/2207.11247
- 代码/Code: https://github.com/Jingkang50/OpenPSG
**Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay**
- 论文/Paper: http://arxiv.org/pdf/2207.11213
- 代码/Code: None
**POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion**
- 论文/Paper: http://arxiv.org/pdf/2207.11001
- 代码/Code: https://github.com/HumaticsLAB/POP-Mining-POtential-Performance
**Few-shot Object Counting and Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.10988
- 代码/Code: https://github.com/VinAIResearch/Counting-DETR
**Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.10948
- 代码/Code: https://github.com/Beyond-Zw/DLAN-AC.
**My View is the Best View: Procedure Learning from Egocentric Videos**
- 论文/Paper: http://arxiv.org/pdf/2207.10883
- 代码/Code: https://github.com/Sid2697/EgoProceL-egocentric-procedure-learning
**Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation**
- 论文/Paper: http://arxiv.org/pdf/2207.10856
- 代码/Code: https://github.com/Hongbin98/ProCA.git
**MeshLoc: Mesh-Based Visual Localization**
- 论文/Paper: http://arxiv.org/pdf/2207.10762
- 代码/Code: None
**MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation**
- 论文/Paper: http://arxiv.org/pdf/2207.12389
- 代码/Code: None
**Deforming Radiance Fields with Cages**
- 论文/Paper: http://arxiv.org/pdf/2207.12298
- 代码/Code: None
**Equivariance and Invariance Inductive Bias for Learning from Insufficient Data**
- 论文/Paper: http://arxiv.org/pdf/2207.12258
- 代码/Code: https://github.com/Wangt-CN/EqInv
**Black-box Few-shot Knowledge Distillation**
- 论文/Paper: http://arxiv.org/pdf/2207.12106
- 代码/Code: https://github.com/nphdang/FS-BBT
**Balancing Stability and Plasticity through Advanced Null Space in Continual Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.12061
- 代码/Code: None
**Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.11934
- 代码/Code: None
**NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing**
- 论文/Paper: http://arxiv.org/pdf/2207.11911
- 代码/Code: None
**Domain Adaptive Person Search**
- 论文/Paper: http://arxiv.org/pdf/2207.11898
- 代码/Code: https://github.com/caposerenity/DAPS.
**VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments**
- 论文/Paper: http://arxiv.org/pdf/2207.11810
- 代码/Code: None
**Label-Guided Auxiliary Training Improves 3D Object Detector**
- 论文/Paper: http://arxiv.org/pdf/2207.11753
- 代码/Code: None
**Combining Internal and External Constraints for Unrolling Shutter in Videos**
- 论文/Paper: http://arxiv.org/pdf/2207.11725
- 代码/Code: None
**TIPS: Text-Induced Pose Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2207.11718
- 代码/Code: None
**Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes**
- 论文/Paper: http://arxiv.org/pdf/2207.11707
- 代码/Code: None
**Learning Graph Neural Networks for Image Style Transfer**
- 论文/Paper: http://arxiv.org/pdf/2207.11681
- 代码/Code: None
**Contrastive Monotonic Pixel-Level Modulation**
- 论文/Paper: http://arxiv.org/pdf/2207.11517
- 代码/Code: https://github.com/lukun199/MonoPix.
**CompNVS: Novel View Synthesis with Scene Completion**
- 论文/Paper: http://arxiv.org/pdf/2207.11467
- 代码/Code: None
**When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.11463
- 代码/Code: https://github.com/LBH1024/CAN.
**Meta Spatio-Temporal Debiasing for Video Scene Graph Generation**
- 论文/Paper: http://arxiv.org/pdf/2207.11441
- 代码/Code: None
**3D Shape Sequence of Human Comparison and Classification using Current and Varifolds**
- 论文/Paper: http://arxiv.org/pdf/2207.12485
- 代码/Code: https://github.com/cristal-3dsam/humancomparisonvarifolds
**NewsStories: Illustrating articles with visual summaries**
- 论文/Paper: http://arxiv.org/pdf/2207.13061
- 代码/Code: https://github.com/newsstoriesdata/newsstories.github.io
**Efficient One Pass Self-distillation with Zipf's Label Smoothing**
- 论文/Paper: http://arxiv.org/pdf/2207.12980
- 代码/Code: https://github.com/megvii-research/zipfls
**AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction**
- 论文/Paper: http://arxiv.org/pdf/2207.12909
- 代码/Code: None
**Static and Dynamic Concepts for Self-supervised Video Representation Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.12795
- 代码/Code: None
**Learning Hierarchy Aware Features for Reducing Mistake Severity**
- 论文/Paper: http://arxiv.org/pdf/2207.12646
- 代码/Code: https://github.com/07agarg/haf
**Translating a Visual LEGO Manual to a Machine-Executable Plan**
- 论文/Paper: http://arxiv.org/pdf/2207.12572
- 代码/Code: None
**Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.12535
- 代码/Code: https://github.com/xinleihe/semi-leak
**Trainability Preserving Neural Structured Pruning**
- 论文/Paper: http://arxiv.org/pdf/2207.12534
- 代码/Code: https://github.com/mingsun-tse/tpp
**Shift-tolerant Perceptual Similarity Metric**
- 论文/Paper: http://arxiv.org/pdf/2207.13686
- 代码/Code: http://github.com/abhijay9/ShiftTolerant-LPIPS/
**Abstracting Sketches through Simple Primitives**
- 论文/Paper: http://arxiv.org/pdf/2207.13543
- 代码/Code: https://github.com/ExplainableML/sketch-primitives.
**AutoTransition: Learning to Recommend Video Transition Effects**
- 论文/Paper: http://arxiv.org/pdf/2207.13479
- 代码/Code: https://github.com/acherstyx/AutoTransition
**Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips**
- 论文/Paper: http://arxiv.org/pdf/2207.13417
- 代码/Code: https://github.com/jiawangbai/HPT
**Identifying Hard Noise in Long-Tailed Sample Distribution**
- 论文/Paper: http://arxiv.org/pdf/2207.13378
- 代码/Code: https://github.com/yxymessi/H2E-Framework
**One-Trimap Video Matting**
- 论文/Paper: http://arxiv.org/pdf/2207.13353
- 代码/Code: https://github.com/Hongje/OTVM
**PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation**
- 论文/Paper: http://arxiv.org/pdf/2207.13340
- 代码/Code: None
**End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement**
- 论文/Paper: http://arxiv.org/pdf/2207.13268
- 代码/Code: None
**Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2207.13259
- 代码/Code: https://github.com/MartinXM/TPS
**Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation**
- 论文/Paper: http://arxiv.org/pdf/2207.13247
- 代码/Code: None
**LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity**
- 论文/Paper: http://arxiv.org/pdf/2207.13129
- 代码/Code: None
**Initialization and Alignment for Adversarial Texture Optimization**
- 论文/Paper: http://arxiv.org/pdf/2207.14289
- 代码/Code: None
**Depth Field Networks for Generalizable Multi-view Scene Representation**
- 论文/Paper: http://arxiv.org/pdf/2207.14287
- 代码/Code: None
**Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection**
- 论文/Paper: http://arxiv.org/pdf/2207.14192
- 代码/Code: https://github.com/enlighten0707/Body-Part-Map-for-Interactiveness.
**Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images**
- 论文/Paper: http://arxiv.org/pdf/2207.14067
- 代码/Code: None
**Break and Make: Interactive Structural Understanding Using LEGO Bricks**
- 论文/Paper: http://arxiv.org/pdf/2207.13738
- 代码/Code: https://github.com/aaronwalsman/ltron.
**A Repulsive Force Unit for Garment Collision Handling in Neural Networks**
- 论文/Paper: http://arxiv.org/pdf/2207.13871
- 代码/Code: None
**Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion**
- 论文/Paper: http://arxiv.org/pdf/2207.14782
- 代码/Code: https://github.com/low5545/minimal-neural-atlas
**Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding**
- 论文/Paper: http://arxiv.org/pdf/2207.14698
- 代码/Code: https://github.com/haojc/ShufflingVideosForTSG.
**AlphaVC: High-Performance and Efficient Learned Video Compression**
- 论文/Paper: http://arxiv.org/pdf/2207.14678
- 代码/Code: None
**WISE: Whitebox Image Stylization by Example-based Learning**
- 论文/Paper: http://arxiv.org/pdf/2207.14606
- 代码/Code: None
**Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels**
- 论文/Paper: http://arxiv.org/pdf/2207.14476
- 代码/Code: None
**Video Question Answering with Iterative Video-Text Co-Tokenization**
- 论文/Paper: http://arxiv.org/pdf/2208.00934
- 代码/Code: None
**S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning**
- 论文/Paper: http://arxiv.org/pdf/2208.00874
- 代码/Code: None
**Skeleton-free Pose Transfer for Stylized 3D Characters**
- 论文/Paper: http://arxiv.org/pdf/2208.00790
- 代码/Code: None
**Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism**
- 论文/Paper: http://arxiv.org/pdf/2208.00617
- 代码/Code: https://github.com/GANPerf/SAM
**SdAE: Self-distillated Masked Autoencoder**
- 论文/Paper: http://arxiv.org/pdf/2208.00449
- 代码/Code: https://github.com/AbrahamYabo/SdAE.
**Out-of-Distribution Detection with Semantic Mismatch under Masking**
- 论文/Paper: http://arxiv.org/pdf/2208.00446
- 代码/Code: https://github.com/cure-lab/MOODCat
**Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction**
- 论文/Paper: http://arxiv.org/pdf/2208.00368
- 代码/Code: None
**Revisiting the Critical Factors of Augmentation-Invariant Representation Learning**
- 论文/Paper: http://arxiv.org/pdf/2208.00275
- 代码/Code: None
**Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network**
- 论文/Paper: http://arxiv.org/pdf/2208.00183
- 代码/Code: None
**Few-Shot Class-Incremental Learning from an Open-Set Perspective**
- 论文/Paper: http://arxiv.org/pdf/2208.00147
- 代码/Code: None
**DAS: Densely-Anchored Sampling for Deep Metric Learning**
- 论文/Paper: http://arxiv.org/pdf/2208.00119
- 代码/Code: https://github.com/lizhaoliu-Lec/DAS
**Fast Two-step Blind Optical Aberration Correction**
- 论文/Paper: http://arxiv.org/pdf/2208.00950
- 代码/Code: None
**Negative Frames Matter in Egocentric Visual Query 2D Localization**
- 论文/Paper: http://arxiv.org/pdf/2208.01949
- 代码/Code: https://github.com/facebookresearch/vq2d_cvpr
## 来源：
https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo
https://github.com/extreme-assistant/ECCV2022-Paper-Code-Interpretation