Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome-CV-Paper-Review
计算机视觉各个方向论文速览
https://github.com/Sophia-11/Awesome-CV-Paper-Review
- Feature Selective Anchor-Free Module for Single-Shot Object Detection
- Bottom-up Object Detection by Grouping Extreme and Center Points
- - MIL)
- MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
- You reap what you sow: Generating High Precision Object Proposals for Weakly-supervised Object Detection
- Object detection with location-aware deformable convolution and backward attention filtering
- ScratchDet: Training Single-Shot Object Detectors from Scratch
- Bounding Box Regression with Uncertainty for Accurate Object Detection - he/KL-Loss)
- Activity Driven Weakly Supervised Object Detection
- Towards Accurate One-Stage Object Detection with AP-Loss
- Strong-Weak Distribution Alignment for Adaptive Object Detection
- NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
- Adaptive NMS: Refining Pedestrian Detection in a Crowd
- Point in, Box out: Beyond Counting Persons in Crowds
- Locating Objects Without Bounding Boxes
- Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects
- Towards Universal Object Detection by Domain Attention
- Exploring the Bounds of the Utility of Context for Object Detection
- What Object Should I Use? Task Driven Object Detection
- Dissimilarity Coefficient based Weakly Supervised Object Detection
- Adapting Object Detectors via Selective Cross-Domain Alignment
- Fully Quantized Network for Object Detection
- Distilling Object Detectors with Fine-grained Feature Imitation
- Multi-task Self-Supervised Object Detection via Recycling of Bounding Box Annotations
- Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
- Automatic adaptation of object detectors to new domains using self-training
- Libra R-CNN: Balanced Learning for Object Detection
- Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
- Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
- Spatial-aware Graph Relation Network for Large-scale Object Detection
- Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
- CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
- Feature Intertwiner for Object Detection
- M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
- Object Detection based on Region Decomposition and Assembly
- DA Faster R-CNN - faster-rcnn)
- SNIP
- Relation-Network - Networks-for-Object-Detection)
- Cascade R-CNN - rcnn)
- SIN
- STDN
- RefineDet
- MegDet
- Finding Tiny Faces in the Wild with Generative Adversarial Network
- MLKP
- Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation - domain-detection)
- Fitness NMS
- RFBNet
- Zero-Annotation Object Detection with Web Knowledge Transfer
- CornerNet - vl/CornerNet)
- PFPNet
- Pelee - JunWang/Pelee)
- HKRM
- MetaAnchor
- SNIPER
- DSSD
- TDM
- FPN
- YOLO v2
- RON
- DeNet
- CoupleNet
- RetinaNet - retinanet)
- Mask R-CNN
- RSA - for-object-detection)
- DCN - ConvNets)
- DSOD
- SMN
- Light-Head R-CNN
- Soft-NMS - nms)
- YOLO v1
- G-CNN
- AZNet
- ION
- HyperNet
- OHEM
- CRAPF
- SSD
- GBDNet
- CPF
- MS-CNN
- R-FCN - FCN)
- PVANET - faster-rcnn)
- DeepID-Net
- NoC
- Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction - obj)
- Faster R-CNN, RPN - faster-rcnn)
- MR-CNN - object-detection)
- DeepBox
- AttentionNet
- Fast R-CNN - rcnn)
- DeepProposal
- R-CNN
- OverFeat
- MultiBox
- SPP-Net
- FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation