2D目标检测
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels
Rethinking Classification and Localization for Object Detection
Code：https://github.com/wuyuebupt/doubleheadsrcnn
Multiple Anchor Learning for Visual Object Detection
Code： https://github.com/KevinKecc/MAL
CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection
Code：https://github.com/KiveeDong/CentripetalNet
Learning From Noisy Anchors for One-Stage Object Detection
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
Code: https://github.com/NVlabs/wetectron
EfficientDet: Scalable and Efficient Object Detection
Code: https://github.com/google/automl/tree/master/efficientdet
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax
Code：https://github.com/FishYuLi/BalancedGroupSoftmax
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
Code: https://github.com/Anymake/DRN_CVPR2020
Noise-Aware Fully Webly Supervised Object Detection
Code: https://github.com/shenyunhang/NA-fWebSOD
Prime Sample Attention in Object Detection
Code：https://github.com/open-mmlab/mmdetection
DR Loss: Improving Object Detection by Distributional Ranking
AugFPN: Improving Multi-Scale Feature Learning for Object Detection
Code： https://github.com/Gus-Guo/AugFPN
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets
Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
Offset Bin Classification Network for Accurate Object Detection
Scale-Equalizing Pyramid Convolution for Object Detection
Code: https://github.com/jshilong/SEPC
Learning a Unified Sample Weighting Network for Object Detection
Code: https://github.com/caiqi/sample-weighting-network
Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
Code：https://github.com/LourencoVazPato/seeing-without-looking/
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
Code：https://github.com/sfzhang15/ATSS
视频目标检测
Memory Enhanced Global-Local Aggregation for Video Object Detection
Code：https://github.com/Scalsol/mega.pytorch