当前位置：网站首页>[paper summary] 2D target detection article summary, continuously updated

[paper summary] 2D target detection article summary, continuously updated

2022-07-22 18:00:00 【It's classmate Wang】

Record what you are interested in 2D Target detection article

1. Model architecture related

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 series

Date	Pub.	Title	Code
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. Inconsistency between classification and regression

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. Label assignment

Date	Pub.	Title	Code
2022	CVPR	A Dual Weighting Label Assignment Scheme for Object Detection	https://github.com/strongwolf/dw
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

5.DETR series

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. Distillation of knowledge

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 relevant

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. Small target detection series

Date	Pub.	Title	Code
2022	CVPR	QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection	https://github.com/ChenhongyiYang/QueryDet-PyTorch

9. Data to enhance

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

10. Open world target detection

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

11. Long tail target detection

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

原网站

版权声明
本文为[It's classmate Wang]所创，转载请带上原文链接，感谢
https://yzsam.com/2022/203/202207220718274275.html