https://github.com/seqam-lab/alwod
공식 코드ALWOD: Active Learning for Weakly-Supervised Object Detection
Papers with Code 아카이브
Weakly Supervised Object Detection
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Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions.
<span style="color:grey; opacity: 0.6">( Image credit: Soft Proposal Networks for Weakly Supervised Object Localization )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shenyunhang/huwsod
공식 코드HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection
https://github.com/solicucu/siod
공식 코드SIOD: Single Instance Annotated Per Category Per Image for Object Detection
https://github.com/tmlabonte/weakly-supervised-DETR
공식 코드Scaling Novel Object Detection with Weakly Supervised Detection Transformers
https://github.com/trumpetertimes/sparse-generation
공식 코드https://github.com/yc-zh/wsvm
공식 코드Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition
https://github.com/yinyf0804/wsod-cbl
공식 코드Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
https://github.com/CatOneTwo/WSDDN-PyTorch
https://github.com/D-X-Y/DXY-Projects/tree/master/MSPLD
https://github.com/George-Holbrow-Wilshaw/Human-Protein-Atlas-Kaggle
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
https://github.com/JoegameZhou/mPanGu-Alpha-53
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
https://github.com/MindSpore-scientific/code-14/tree/main/weakly-supervised
https://github.com/VivekUdupa/CPSC8810-DeepLearning_vkoodli_shonnah
https://github.com/YangtaoWANG95/TokenCut
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
https://github.com/ac-rodriguez/privilegedpooling
https://github.com/adursun/wsddn.pytorch
https://github.com/basiclab/DA-OD-MEAA-PyTorch
https://github.com/durandtibo/wildcat.pytorch
https://github.com/jd730/OICR-pytorch
Multiple Instance Detection Network with Online Instance Classifier Refinement
https://github.com/jeromerony/survey_wsl_histology/blob/6d98928a1da2c73d84a791a11a6f18acd647d9cd/mil/poolings/wildcat.py
https://github.com/manuelhaussmann/vgpmil
https://github.com/ngonthier/Mi_max
https://github.com/nkondapa/RSVC
https://github.com/ppengtang/pcl.pytorch
Multiple Instance Detection Network with Online Instance Classifier Refinement
https://github.com/researchmm/WSOD2
https://github.com/shenyunhang/WS-JDS
https://github.com/vadimkantorov/contextlocnet
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
https://github.com/xuyunqiu/h2fa_r-cnn
https://github.com/yeezhu/SPN.pytorch
Soft Proposal Networks for Weakly Supervised Object Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.