https://github.com/lhf12278/DRDL
공식 코드Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identification
Papers with Code 아카이브
Unsupervised Person Re-Identification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lithium770/Unsupervised-Person-Re-identification-with-Stochastic-Training-Strategy
공식 코드Unsupervised Person Re-identification with Stochastic Training Strategy
https://github.com/lithium770/unsupervised-person-re-id-with-stochastic-training-strategy
공식 코드Unsupervised Person Re-identification with Stochastic Training Strategy
https://github.com/liu-xb/DIM_GLO
공식 코드Domain Adaptive Person Re-Identification via Coupling Optimization
https://github.com/michuanhaohao/transreid-ssl
공식 코드Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
https://github.com/rikoli/wacv23-workshop-tmgf
공식 코드Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification
https://github.com/stone5265/3c-reid
공식 코드3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-Identification
https://github.com/tenghehan/AuxUSLReID
공식 코드https://github.com/terminator8758/o2cap
공식 코드Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification
https://github.com/theziqi/dccc
공식 코드Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identification
https://github.com/ucas-vg/groupsampling
공식 코드Rethinking Sampling Strategies for Unsupervised Person Re-identification
https://github.com/uknownpioneer/GSMLP-SMLC
공식 코드https://github.com/wangguangyuan/ClusterContrast
공식 코드https://github.com/wavinflaghxm/GroupSampling
공식 코드Rethinking Sampling Strategies for Unsupervised Person Re-identification
https://github.com/weleen/MGH.pytorch
공식 코드MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
https://github.com/xieqk/TASTR
공식 코드https://github.com/yanan-wang-cs/clonedperson
공식 코드Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification
https://github.com/yanbeic/Deep-Association-Learning
공식 코드Deep Association Learning for Unsupervised Video Person Re-identification
https://github.com/yolomax/umtf
공식 코드Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling
https://github.com/yoonkicho/pplr
공식 코드Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
https://github.com/yxgeee/MMT
공식 코드https://github.com/yxgeee/SDA
공식 코드Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
https://github.com/yxgeee/SpCL
공식 코드Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
https://github.com/yxgeee/VisDA-ECCV20
공식 코드Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID
https://github.com/zhunzhong07/ECN
공식 코드Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
https://github.com/2020132075/conmae
https://github.com/ChristmasStory/TransReID-main
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/Demonhesusheng/Reid
Joint Discriminative and Generative Learning for Person Re-identification
https://github.com/DengpanFu/LUPerson
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
https://github.com/FlyingRoastDuck/PGPPM
Leveraging Virtual and Real Person for Unsupervised Person Re-identification
https://github.com/GJTNB/reading-memo
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
https://github.com/JeyesHan/P2LR
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/LeDuySon/torchreid_uet_lab
Learning Generalisable Omni-Scale Representations for Person Re-Identification
https://github.com/MS-Mind/MS-Code-06/tree/main/osnet
Learning Generalisable Omni-Scale Representations for Person Re-Identification
https://github.com/MatthewAbugeja/osnet
Learning Generalisable Omni-Scale Representations for Person Re-Identification
https://github.com/NVlabs/DG-Net
Joint Discriminative and Generative Learning for Person Re-identification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.