CVPR 的paper list已经放出来了，链接如下：
/program/main-conference
CVPR 的录用结果已经出来挺久了，不过估计还得过一段时间才能给出完整的接收列表。近期在关注目标检测相关的论文，因此收集一些今年CVPR最新的论文来看看，持续更新中。
[1]Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
paper:/abs/1912.02424
code:/sfzhang15/ATSS
[2]EfficientDet: Scalable and Efficient Object Detection
paper:/abs/1911.09070
code:/google/automl/tree/master/efficientdet
[3]Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
paper:/abs/1908.01998
code: TBD
dataset:/fanq15/Few-Shot-Object-Detection-Dataset
[4]Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
paper: /abs/.11818
code: /ggjy/HitDet.pytorch
[5]BiDet: An Efficient Binarized Object Detector
paper:/abs/.03961
code:/ZiweiWangTHU/BiDet
[6]Harmonizing Transferability and Discriminability for Adapting Object Detectors
paper:/abs/.06297
code:/chaoqichen/HTCN
[7]Noise-Aware Fully Webly Supervised Object Detection
paper: TBD
code:/shenyunhang/NA-fWebSOD
[8]NAS-FCOS: fast neural architecture search for object detection
paper: /abs/1906.04423
code: TBD
[9]CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
paper: /abs/.09119
code: /KiveeDong/CentripetalNet
[10]Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
paper: /abs/.10275
code: TBD
[11]Revisiting the Sibling Head in Object Detector
paper: /abs/.07540
code: /Sense-X/TSD
[12]DR Loss: Improving Object Detection by Distributional Ranking
paper: /abs/1907.10156
code: /idstcv/DR_loss
[13]Exploring Categorical Regularization for Domain Adaptive Object Detection
paper: /abs/.09152
code: /Megvii-Nanjing/CR-DA-DET
[14]Detection in Crowded Scenes: One Proposal, Multiple Predictions
paper: /abs/.09163
code: /megvii-model/CrowdDetection
[15]Camouflaged Object Detection
paper: /Papers/20CVPR_Camouflag.pdf
code: TBD
[16]Scale-Equalizing Pyramid Convolution for Object Detection
paper: /abs/.03101
code: /jshilong/SEPC
[17]Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
paper: /abs/.04725
code: /NVlabs/wetectron
[18]Rethinking Classification and Localization for Object Detection
paper: /abs/1904.06493
code: TBD
[19]Dynamic Refinement Network for Oriented and Densely Packed Object Detection
paper: /abs/.09973
code: /Anymake/DRN_CVPR
