记录自己比较感兴趣的2D目标检测文章

分类

  • 1.模型架构相关
  • 2.YOLO系列
  • 3.分类与回归不一致问题
  • 4.标签分配
  • 5.DETR系列
  • 6.知识蒸馏
  • 7.FPN相关
  • 8.小目标检测系列
  • 9.数据增强
  • 10.开放世界目标检测
  • 11.长尾目标检测
  • 12. 单点目标检测
  • 13. 红外目标检测
  • 14. 探讨类
  • 15. diffusion
  • 16. Loss相关

1.模型架构相关

Date Pub. Title Code
2022 ECCV ObjectBox: From Centers to Boxes for Anchor-Free Object Detection https://github.com/mohsenzand/objectbox
2021 MM Disentangle Your Dense Object Detector https://github.com/zehuichen123/DDOD
2021 CVPR VarifocalNet: An IoU-aware Dense Object Detector https://github.com/hyz-xmaster/VarifocalNet
2021 CVPR Sparse R-CNN: End-to-End Object Detection with Learnable Proposals https://github.com/PeizeSun/SparseR-CNN
2020 ECCV Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training https://github.com/hkzhang95/DynamicRCNN
2020 ECCV Side-Aware Boundary Localization for More Precise Object Detection https://github.com/open-mmlab/mmdetection
2020 CVPR CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection https://github.com/KiveeDong/CentripetalNet
2020 CVPR NAS-FCOS: Fast Neural Architecture Search for Object Detection https://github.com/open-mmlab/mmdetection
2020 TIP FoveaBox: Beyond Anchor-based Object Detector https://github.com/taokong/FoveaBox
2020 NIPS RepPoints V2: Verification Meets Regression for Object Detection https://github.com/Scalsol/RepPointsV2
2019 ICCV RepPoints: Point Set Representation for Object Detection https://github.com/microsoft/RepPoints
2019 NIPS Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution https://github.com/thangvubk/Cascade-RPN
2019 ICCV FCOS: Fully Convolutional One-Stage Object Detection https://github.com/tianzhi0549/FCOS
2019 ICCV Scale-Aware Trident Networks for Object Detection https://github.com/open-mmlab/mmdetection
2019 CVPR Libra R-CNN: Towards Balanced Learning for Object Detection https://github.com/open-mmlab/mmdetection
2019 CVPR Objects as Points https://github.com/xingyizhou/CenterNet
2019 CVPR Region Proposal by Guided Anchoring https://github.com/open-mmlab/mmdetection
2019 CVPR Grid R-CNN https://github.com/open-mmlab/mmdetection
2018 ECCV CornerNet: Detecting Objects as Paired Keypoints https://github.com/princeton-vl/CornerNet
2018 CVPR Cascade R-CNN: High Quality Object Detection and Instance Segmentation https://github.com/zhaoweicai/cascade-rcnn
2017 ICCV Focal Loss for Dense Object Detection https://github.com/open-mmlab/mmdetection
2016 ECCV SSD: Single Shot MultiBox Detector https://github.com/weiliu89/caffe
2015 NIPS Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks https://github.com/ShaoqingRen/faster_rcnn
2015 ICCV Fast R-CNN https://github.com/rbgirshick/fast-rcnn

2.YOLO系列

Date Pub. Title Code
2023 — YOLOV8 https://github.com/ultralytics/ultralytics
2022 — DAMO-YOLO https://github.com/tinyvision/DAMO-YOLO
2022 arXiv YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors https://github.com/wongkinyiu/yolov7
2022 — Yolov6 https://github.com/meituan/YOLOv6
2022 arXiv PP-YOLOE: An evolved version of YOLO https://github.com/PaddlePaddle/PaddleDetection
2021 Tech Report YOLOX: Exceeding YOLO Series in 2021 https://github.com/Megvii-BaseDetection/YOLOX
2021 aiXiv You Only Learn One Representation: Unified Network for Multiple Tasks https://github.com/WongKinYiu/yolor
2021 CVPR Scaled-YOLOv4: Scaling Cross Stage Partial Network https://github.com/WongKinYiu/ScaledYOLOv4
2021 arXiv PP-YOLOv2: A Practical Object Detector https://github.com/PaddlePaddle/PaddleDetection
2020 arXiv PP-YOLO: An Effective and Efficient Implementation of Object Detector https://github.com/PaddlePaddle/PaddleDetection
2020 — Yolov5 https://github.com/ultralytics/yolov5
2020 arXiv Yolov4: Optimal speed and accuracy of object detection https://github.com/AlexeyAB/darknet
2018 Tech Report YOLOv3: An Incremental Improvement —
2017 CVPR YOLO9000: Better, Faster, Stronger —
2016 CVPR You Only Look Once: Unified, Real-Time Object Detection —

3.分类与回归不一致问题

Date Pub. Title Code
2021 ICCV TOOD: Task-aligned One-stage Object Detection https://github.com/fcjian/TOOD
2021 ICCV Reconcile Prediction Consistency for Balanced Object Detection —
2020 CVPR Rethinking Classification and Localization for Object Detection https://github.com/wuyuebupt/doubleheadsrcnn
2020 CVPR Multiple Anchor Learning for Visual Object Detection https://github.com/KevinKecc/MAL

4.标签分配

Date Pub. Title Code 备注
2022 CVPR A Dual Weighting Label Assignment Scheme for Object Detection https://github.com/strongwolf/dw
2021 Neurocomputing LLA: Loss-aware Label Assignment for Dense Pedestrian Detection https://github.com/Megvii-BaseDetection/LLA 笔记
2021 CVPR IQDet: Instance-wise Quality Distribution Sampling for Object Detection —
2021 CVPR OTA: Optimal Transport Assignment for Object Detection https://github.com/Megvii-BaseDetection/OTA
2020 ECCV Probabilistic Anchor Assignment with IoU Prediction for Object Detection https://github.com/kkhoot/PAA
2020 CVPR Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection https://github.com/sfzhang15/ATSS
2020 arXiv AutoAssign: Differentiable Label Assignment for Dense Object Detection https://github.com/Megvii-BaseDetection/AutoAssign
2019 NIPS FreeAnchor: Learning to Match Anchors for Visual Object Detection https://github.com/zhangxiaosong18/FreeAnchor
2019 CVPR Region Proposal by Guided Anchoring —
2018 NIPS MetaAnchor: Learning to Detect Objects with Customized Anchors -

5.DETR系列

Date Pub. Title Code
2022 CVPR DN-DETR: Accelerate DETR Training by Introducing Query DeNoising https://github.com/fengli-ust/dn-detr
2021 ICLR Deformable DETR: Deformable Transformers for End-to-End Object Detection https://github.com/fundamentalvision/Deformable-DETR
2021 ICCV Rethinking Transformer-based Set Prediction for Object Detection https://github.com/edward-sun/tsp-detection
2021 ICCV Dynamic DETR: End-to-End Object Detection with Dynamic Attention —
2020 ECCV End-to-End Object Detection with Transformers https://github.com/facebookresearch/detr

6.知识蒸馏

Date Pub. Title Code
2022 CVPR Localization Distillation for Dense Object Detection https://github.com/HikariTJU/LD
2022 CVPR Focal and Global Knowledge Distillation for Detectors https://github.com/yzd-v/FGD
2022 WACV Improving Object Detection by Label Assignment Distillation https://github.com/cybercore-co-ltd/CoLAD
2021 CVPR Distilling Object Detectors via Decoupled Features https://github.com/ggjy/DeFeat.pytorch
2021 CVPR General Instance Distillation for Object Detection —

7.FPN相关

Date Pub. Title Code
2022 ECCV You Should Look at All Objects https://github.com/charlespikachu/yslao
2021 CVPR You Only Look One-level Feature https://github.com/megvii-model/YOLOF
2019 CVPR Feature Selective Anchor-Free Module for Single-Shot Object Detection https://github.com/open-mmlab/mmdetection

8.小目标检测系列

Date Pub. Title Code
2022 ECCV RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection https://github.com/chasel-tsui/mmdet-rfla
2022 CVPR QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection https://github.com/ChenhongyiYang/QueryDet-PyTorch
2020 TSMC A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal

9.数据增强

Date Pub. Title Code
2021 CVPR Scale-aware Automatic Augmentation for Object Detection https://github.com/dvlab-research/SA-AutoAug

10.开放世界目标检测

Date Pub. Title Code
2021 CVPR Towards Open World Object Detection https://github.com/JosephKJ/OWOD

11.长尾目标检测

Date Pub. Title Code
2021 ICCV Exploring Classification Equilibrium in Long-Tailed Object Detection https://github.com/fcjian/loce
2021 ICCV MOSAICOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection https://github.com/czhang0528/MosaicOS

12. 单点目标检测

Date Pub. Title Code
2022 ECCV Point-to-Box Network for Accurate Object Detection via Single Point Supervision https://github.com/ucas-vg/P2BNet

13. 红外目标检测

Date Pub. Title Code
2022 ECCV Multimodal Object Detection via Probabilistic Ensembling https://github.com/Jamie725/RGBT-detection

14. 探讨类

Date Pub. Title Code
2022 arXiv Understanding CNN Fragility When Learning With Imbalanced Data —
2022 arXiv TSAA: A Two-Stage Anchor Assignment Method towards Anchor Drift in Crowded Object Detection —
2019 arXiv Empirical Upper Bound in Object Detection and More —

15. diffusion

Date Pub. Title Code
2022 arXiv DiffusionDet: Diffusion Model for Object Detection https://github.com/shoufachen/diffusiondet

16. Loss相关

Date Pub. Title Code
2021 arXiv Focal and Efficient IOU Loss for Accurate Bounding Box Regression
2021 arXiv Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression https://github.com/jacobi93/alpha-iou
2020 AAAI Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression https://github.com/Zzh-tju/DIoU
2019 CVPR Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression -

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