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  • 【论文汇总】2D目标检测文章汇总,持续更新


    记录自己比较感兴趣的2D目标检测文章

    1.模型架构相关

    DatePub.TitleCode
    2022ECCVObjectBox: From Centers to Boxes for Anchor-Free Object Detectionhttps://github.com/mohsenzand/objectbox
    2021MMDisentangle Your Dense Object Detectorhttps://github.com/zehuichen123/DDOD
    2021CVPRVarifocalNet: An IoU-aware Dense Object Detectorhttps://github.com/hyz-xmaster/VarifocalNet
    2021CVPRSparse R-CNN: End-to-End Object Detection with Learnable Proposalshttps://github.com/PeizeSun/SparseR-CNN
    2020ECCVDynamic R-CNN: Towards High Quality Object Detection via Dynamic Traininghttps://github.com/hkzhang95/DynamicRCNN
    2020ECCVSide-Aware Boundary Localization for More Precise Object Detectionhttps://github.com/open-mmlab/mmdetection
    2020CVPRCentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detectionhttps://github.com/KiveeDong/CentripetalNet
    2020CVPRNAS-FCOS: Fast Neural Architecture Search for Object Detectionhttps://github.com/open-mmlab/mmdetection
    2020TIPFoveaBox: Beyond Anchor-based Object Detectorhttps://github.com/taokong/FoveaBox
    2020NIPSRepPoints V2: Verification Meets Regression for Object Detectionhttps://github.com/Scalsol/RepPointsV2
    2019ICCVRepPoints: Point Set Representation for Object Detectionhttps://github.com/microsoft/RepPoints
    2019NIPSCascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolutionhttps://github.com/thangvubk/Cascade-RPN
    2019ICCVFCOS: Fully Convolutional One-Stage Object Detectionhttps://github.com/tianzhi0549/FCOS
    2019ICCVScale-Aware Trident Networks for Object Detectionhttps://github.com/open-mmlab/mmdetection
    2019CVPRLibra R-CNN: Towards Balanced Learning for Object Detectionhttps://github.com/open-mmlab/mmdetection
    2019CVPRObjects as Pointshttps://github.com/xingyizhou/CenterNet
    2019CVPRRegion Proposal by Guided Anchoringhttps://github.com/open-mmlab/mmdetection
    2019CVPRGrid R-CNNhttps://github.com/open-mmlab/mmdetection
    2018ECCVCornerNet: Detecting Objects as Paired Keypointshttps://github.com/princeton-vl/CornerNet
    2018CVPRCascade R-CNN: High Quality Object Detection and Instance Segmentationhttps://github.com/zhaoweicai/cascade-rcnn
    2017ICCVFocal Loss for Dense Object Detectionhttps://github.com/open-mmlab/mmdetection
    2016ECCVSSD: Single Shot MultiBox Detectorhttps://github.com/weiliu89/caffe
    2015NIPSFaster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkshttps://github.com/ShaoqingRen/faster_rcnn
    2015ICCVFast R-CNNhttps://github.com/rbgirshick/fast-rcnn

    2.YOLO系列

    DatePub.TitleCode
    2022arXivYOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorshttps://github.com/wongkinyiu/yolov7
    2022—Yolov6https://github.com/meituan/YOLOv6
    2022arXivPP-YOLOE: An evolved version of YOLOhttps://github.com/PaddlePaddle/PaddleDetection
    2021Tech ReportYOLOX: Exceeding YOLO Series in 2021https://github.com/Megvii-BaseDetection/YOLOX
    2021aiXivYou Only Learn One Representation: Unified Network for Multiple Taskshttps://github.com/WongKinYiu/yolor
    2021CVPRScaled-YOLOv4: Scaling Cross Stage Partial Networkhttps://github.com/WongKinYiu/ScaledYOLOv4
    2021arXivPP-YOLOv2: A Practical Object Detectorhttps://github.com/PaddlePaddle/PaddleDetection
    2020arXivPP-YOLO: An Effective and Efficient Implementation of Object Detectorhttps://github.com/PaddlePaddle/PaddleDetection
    2020—Yolov5https://github.com/ultralytics/yolov5
    2020arXivYolov4: Optimal speed and accuracy of object detectionhttps://github.com/AlexeyAB/darknet
    2018Tech ReportYOLOv3: An Incremental Improvement—
    2017CVPRYOLO9000: Better, Faster, Stronger—
    2016CVPRYou Only Look Once: Unified, Real-Time Object Detection—

    3.分类与回归不一致问题

    DatePub.TitleCode
    2021ICCVTOOD: Task-aligned One-stage Object Detectionhttps://github.com/fcjian/TOOD
    2021ICCVReconcile Prediction Consistency for Balanced Object Detection—
    2020CVPRRethinking Classification and Localization for Object Detectionhttps://github.com/wuyuebupt/doubleheadsrcnn
    2020CVPRMultiple Anchor Learning for Visual Object Detectionhttps://github.com/KevinKecc/MAL

    4.标签分配

    DatePub.TitleCode
    2022CVPRA Dual Weighting Label Assignment Scheme for Object Detectionhttps://github.com/strongwolf/dw
    2021CVPRIQDet: Instance-wise Quality Distribution Sampling for Object Detection—
    2021CVPROTA: Optimal Transport Assignment for Object Detectionhttps://github.com/Megvii-BaseDetection/OTA
    2020ECCVProbabilistic Anchor Assignment with IoU Prediction for Object Detectionhttps://github.com/kkhoot/PAA
    2020CVPRBridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selectionhttps://github.com/sfzhang15/ATSS
    2020arXivAutoAssign: Differentiable Label Assignment for Dense Object Detectionhttps://github.com/Megvii-BaseDetection/AutoAssign
    2019NIPSFreeAnchor: Learning to Match Anchors for Visual Object Detectionhttps://github.com/zhangxiaosong18/FreeAnchor

    5.DETR系列

    DatePub.TitleCode
    2022CVPRDN-DETR: Accelerate DETR Training by Introducing Query DeNoisinghttps://github.com/fengli-ust/dn-detr
    2021ICLRDeformable DETR: Deformable Transformers for End-to-End Object Detectionhttps://github.com/fundamentalvision/Deformable-DETR
    2021ICCVRethinking Transformer-based Set Prediction for Object Detectionhttps://github.com/edward-sun/tsp-detection
    2021ICCVDynamic DETR: End-to-End Object Detection with Dynamic Attention—
    2020ECCVEnd-to-End Object Detection with Transformershttps://github.com/facebookresearch/detr

    6.知识蒸馏

    DatePub.TitleCode
    2022CVPRLocalization Distillation for Dense Object Detectionhttps://github.com/HikariTJU/LD
    2022CVPRFocal and Global Knowledge Distillation for Detectorshttps://github.com/yzd-v/FGD
    2022WACVImproving Object Detection by Label Assignment Distillationhttps://github.com/cybercore-co-ltd/CoLAD
    2021CVPRDistilling Object Detectors via Decoupled Featureshttps://github.com/ggjy/DeFeat.pytorch
    2021CVPRGeneral Instance Distillation for Object Detection—

    7.FPN相关

    DatePub.TitleCode
    2022ECCVYou Should Look at All Objectshttps://github.com/charlespikachu/yslao
    2021CVPRYou Only Look One-level Featurehttps://github.com/megvii-model/YOLOF
    2019CVPRFeature Selective Anchor-Free Module for Single-Shot Object Detectionhttps://github.com/open-mmlab/mmdetection

    8.小目标检测系列

    DatePub.TitleCode
    2022CVPRQueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detectionhttps://github.com/ChenhongyiYang/QueryDet-PyTorch

    9.数据增强

    DatePub.TitleCode
    2021CVPRScale-aware Automatic Augmentation for Object Detectionhttps://github.com/dvlab-research/SA-AutoAug

    10.开放世界目标检测

    DatePub.TitleCode
    2021CVPRTowards Open World Object Detectionhttps://github.com/JosephKJ/OWOD

    11.长尾目标检测

    DatePub.TitleCode
    2021ICCVExploring Classification Equilibrium in Long-Tailed Object Detectionhttps://github.com/fcjian/loce
    2021ICCVMOSAICOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detectionhttps://github.com/czhang0528/MosaicOS
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  • 原文地址:https://blog.csdn.net/wxd1233/article/details/125902245
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