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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
Last synced: 4 days ago
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2018 ECCV of Object Detection
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2019 CVPR of Object Detection
- 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
- What Object Should I Use? Task Driven Object Detection
- Dissimilarity Coefficient based Weakly Supervised Object Detection
- Fully Quantized Network for Object Detection
- Distilling Object Detectors with Fine-grained Feature Imitation
- Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
- - MIL)
- Bottom-up Object Detection by Grouping Extreme and Center Points
- 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
- 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
- Towards Universal Object Detection by Domain Attention
- What Object Should I Use? Task Driven Object Detection
- Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
- Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
- 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
- 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
- Distilling Object Detectors with Fine-grained Feature Imitation
- Libra R-CNN: Balanced Learning for Object Detection
- Locating Objects Without Bounding Boxes
- Strong-Weak Distribution Alignment for Adaptive Object Detection
- Exploring the Bounds of the Utility of Context for Object Detection
- Dissimilarity Coefficient based Weakly Supervised Object Detection
- Feature Selective Anchor-Free Module for Single-Shot Object Detection
- ScratchDet: Training Single-Shot Object Detectors from Scratch
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2019 ICLR of Object Detection
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2019 AAAI of Object Detection
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2018 CVPR of Object Detection
- 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
- MLKP
- Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation - domain-detection)
- Cascade R-CNN - rcnn)
- SNIP
- Relation-Network - Networks-for-Object-Detection)
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2018 NIPS of Object Detection
- Pelee - JunWang/Pelee)
- HKRM
- MetaAnchor
- SNIPER
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2017 CVPR of Object Detection
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2017 ICCV of Object Detection
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2016 CVPR of Object Detection
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2016 ECCV of Object Detection
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2016 NIP and PAMI of Object Detection
- R-FCN - FCN)
- PVANET - faster-rcnn)
- DeepID-Net
- NoC
- R-FCN - FCN)
- DeepID-Net
- NoC
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2015 CVPR and NIPS of Object Detection
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2015 ICCV of Object Detection
- MR-CNN - object-detection)
- DeepBox
- AttentionNet
- DeepProposal
- DeepBox
- DeepProposal
- Fast R-CNN - rcnn)
- AttentionNet
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2014 CVPR & ICLR & ECCV of Object Detection
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2019-07-08
Categories
2019 CVPR of Object Detection
49
2018 CVPR of Object Detection
16
2017 ICCV of Object Detection
15
2016 CVPR of Object Detection
12
2015 ICCV of Object Detection
8
2016 NIP and PAMI of Object Detection
7
2017 CVPR of Object Detection
7
2016 ECCV of Object Detection
6
2018 ECCV of Object Detection
6
2014 CVPR & ICLR & ECCV of Object Detection
5
2018 NIPS of Object Detection
4
2019 AAAI of Object Detection
4
2019-07-08
3
2019 ICLR of Object Detection
2
2015 CVPR and NIPS of Object Detection
2
Sub Categories