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: 6 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
- Libra R-CNN: Balanced Learning for Object Detection
- 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)
- 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
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2014 CVPR & ICLR & ECCV of Object Detection
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2019-07-08
Categories
2019 CVPR of Object Detection
47
2017 ICCV of Object Detection
15
2018 CVPR of Object Detection
14
2016 CVPR of Object Detection
12
2016 NIP and PAMI of Object Detection
7
2017 CVPR of Object Detection
7
2015 ICCV of Object Detection
6
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