{"url":"/task/unsupervised-person-re-identification","name":"Unsupervised Person Re-Identification","slug":"unsupervised-person-re-identification","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":107,"papers_with_code":62,"benchmarks":19,"benchmark_tables_in_archive":19,"benchmark_tables_shown":19,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":11,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/unsupervised-person-re-identification-on-4","slug":"unsupervised-person-re-identification-on-4","dataset":"Market-1501","dataset_url":"/dataset/market-1501","rows_in_archive":23,"metrics":["MAP","Rank-1","Rank-5","Rank-10"],"first_row_in_archive_order":{"model":"TransReID-SSL (ViTi-S)","paper_title":"Self-Supervised Pre-Training for Transformer-Based Person Re-Identification","paper_url":"/paper/self-supervised-pre-training-for-transformer","paper_date":"2021-11-23","arxiv_id":"2111.12084","code_links":[{"title":"DengpanFu/LUPerson","url":"https://github.com/DengpanFu/LUPerson"},{"title":"damo-cv/TransReID-SSL","url":"https://github.com/damo-cv/TransReID-SSL"},{"title":"michuanhaohao/transreid-ssl","url":"https://github.com/michuanhaohao/transreid-ssl"}],"syntology":{"n":8,"n_ran":3,"n_unverified":5,"n_pointer_only":8}}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-5","slug":"unsupervised-person-re-identification-on-5","dataset":"DukeMTMC-reID","dataset_url":"/dataset/dukemtmc-reid","rows_in_archive":13,"metrics":["MAP","Rank-1","Rank-5","Rank-10"],"first_row_in_archive_order":{"model":"TMGF","paper_title":"Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification","paper_url":"/paper/transformer-based-multi-grained-features-for","paper_date":"2022-11-22","arxiv_id":"2211.12280","code_links":[{"title":"rikoli/wacv23-workshop-tmgf","url":"https://github.com/rikoli/wacv23-workshop-tmgf"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-12","slug":"unsupervised-person-re-identification-on-12","dataset":"MSMT17","dataset_url":"/dataset/msmt17","rows_in_archive":12,"metrics":["Rank-1","mAP","Rank-10","Rank-5"],"first_row_in_archive_order":{"model":"PCL-CLIP (O2CAP)","paper_title":"Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification","paper_url":"/paper/prototypical-contrastive-learning-based-clip","paper_date":"2023-10-26","arxiv_id":"2310.17218","code_links":[{"title":"RikoLi/PCL-CLIP","url":"https://github.com/RikoLi/PCL-CLIP"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-1","slug":"unsupervised-person-re-identification-on-1","dataset":"DukeMTMC-reID->Market-1501","dataset_url":"/dataset/market-1501","rows_in_archive":8,"metrics":["Rank-1","Rank-10","Rank-5","mAP","Rank-20","Top-1 (%)"],"first_row_in_archive_order":{"model":"CORE-ReID","paper_title":"CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-Identification","paper_url":"/paper/core-reid-comprehensive-optimization-and","paper_date":"2024-06-03","arxiv_id":null,"code_links":[{"title":"TrinhQuocNguyen/CORE-ReID","url":"https://github.com/TrinhQuocNguyen/CORE-ReID"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on","slug":"unsupervised-person-re-identification-on","dataset":"Market-1501->DukeMTMC-reID","dataset_url":"/dataset/dukemtmc-reid","rows_in_archive":7,"metrics":["mAP","Rank-1","Rank-5","Rank-10","Rank-20"],"first_row_in_archive_order":{"model":"CORE-ReID","paper_title":"CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-Identification","paper_url":"/paper/core-reid-comprehensive-optimization-and","paper_date":"2024-06-03","arxiv_id":null,"code_links":[{"title":"TrinhQuocNguyen/CORE-ReID","url":"https://github.com/TrinhQuocNguyen/CORE-ReID"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-2","slug":"unsupervised-person-re-identification-on-2","dataset":"Market-1501->MSMT17","dataset_url":"/dataset/msmt17","rows_in_archive":7,"metrics":["mAP","Rank-1","Rank-10","Rank-5"],"first_row_in_archive_order":{"model":"CORE-ReID","paper_title":"CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-Identification","paper_url":"/paper/core-reid-comprehensive-optimization-and","paper_date":"2024-06-03","arxiv_id":null,"code_links":[{"title":"TrinhQuocNguyen/CORE-ReID","url":"https://github.com/TrinhQuocNguyen/CORE-ReID"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-3","slug":"unsupervised-person-re-identification-on-3","dataset":"DukeMTMC-reID->MSMT17","dataset_url":"/dataset/msmt17","rows_in_archive":7,"metrics":["mAP","Rank-1","Rank-10","Rank-5","Top-1 (%)"],"first_row_in_archive_order":{"model":"CORE-ReID","paper_title":"CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-Identification","paper_url":"/paper/core-reid-comprehensive-optimization-and","paper_date":"2024-06-03","arxiv_id":null,"code_links":[{"title":"TrinhQuocNguyen/CORE-ReID","url":"https://github.com/TrinhQuocNguyen/CORE-ReID"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-6","slug":"unsupervised-person-re-identification-on-6","dataset":"MSMT17->DukeMTMC-reID","dataset_url":"/dataset/dukemtmc-reid","rows_in_archive":4,"metrics":["Rank-1","Rank-10","Rank-5","mAP"],"first_row_in_archive_order":{"model":"OSNet-AIN","paper_title":"Learning Generalisable Omni-Scale Representations for Person Re-Identification","paper_url":"/paper/learning-generalisable-omni-scale","paper_date":"2019-10-15","arxiv_id":"1910.06827","code_links":[{"title":"KaiyangZhou/deep-person-reid","url":"https://github.com/KaiyangZhou/deep-person-reid"},{"title":"openvinotoolkit/deep-object-reid","url":"https://github.com/openvinotoolkit/deep-object-reid"},{"title":"jacobtyo/mudd","url":"https://github.com/jacobtyo/mudd"},{"title":"MS-Mind/MS-Code-06","url":"https://github.com/MS-Mind/MS-Code-06/tree/main/osnet"},{"title":"hukefei/deep-person-reid-master","url":"https://github.com/hukefei/deep-person-reid-master"},{"title":"MatthewAbugeja/osnet","url":"https://github.com/MatthewAbugeja/osnet"},{"title":"tomektarabasz/deep_person_reid","url":"https://github.com/tomektarabasz/deep_person_reid"},{"title":"mszpc/osnet","url":"https://github.com/mszpc/osnet"},{"title":"LeDuySon/torchreid_uet_lab","url":"https://github.com/LeDuySon/torchreid_uet_lab"}],"syntology":{"n":9,"n_ran":6,"n_unverified":3,"n_pointer_only":6}}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-7","slug":"unsupervised-person-re-identification-on-7","dataset":"MSMT17->Market-1501","dataset_url":"/dataset/msmt17","rows_in_archive":3,"metrics":["Rank-1","Rank-10","Rank-5","mAP"],"first_row_in_archive_order":{"model":"OSNet-AIN","paper_title":"Learning Generalisable Omni-Scale Representations for Person Re-Identification","paper_url":"/paper/learning-generalisable-omni-scale","paper_date":"2019-10-15","arxiv_id":"1910.06827","code_links":[{"title":"KaiyangZhou/deep-person-reid","url":"https://github.com/KaiyangZhou/deep-person-reid"},{"title":"openvinotoolkit/deep-object-reid","url":"https://github.com/openvinotoolkit/deep-object-reid"},{"title":"jacobtyo/mudd","url":"https://github.com/jacobtyo/mudd"},{"title":"MS-Mind/MS-Code-06","url":"https://github.com/MS-Mind/MS-Code-06/tree/main/osnet"},{"title":"hukefei/deep-person-reid-master","url":"https://github.com/hukefei/deep-person-reid-master"},{"title":"MatthewAbugeja/osnet","url":"https://github.com/MatthewAbugeja/osnet"},{"title":"tomektarabasz/deep_person_reid","url":"https://github.com/tomektarabasz/deep_person_reid"},{"title":"mszpc/osnet","url":"https://github.com/mszpc/osnet"},{"title":"LeDuySon/torchreid_uet_lab","url":"https://github.com/LeDuySon/torchreid_uet_lab"}],"syntology":{"n":9,"n_ran":6,"n_unverified":3,"n_pointer_only":6}}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-11","slug":"unsupervised-person-re-identification-on-11","dataset":"DukeMTMC-VideoReID","dataset_url":"/dataset/dukemtmc-videoreid","rows_in_archive":2,"metrics":["mAP","Rank-1","Rank-5","Rank-20"],"first_row_in_archive_order":{"model":"AuxUSLReID","paper_title":"A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets","paper_url":"/paper/a-high-accuracy-unsupervised-person-re","paper_date":"2022-05-06","arxiv_id":"2205.03124","code_links":[{"title":"tenghehan/AuxUSLReID","url":"https://github.com/tenghehan/AuxUSLReID"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-8","slug":"unsupervised-person-re-identification-on-8","dataset":"DukeMTMCreID","dataset_url":"/dataset/dukemtmc-reid","rows_in_archive":2,"metrics":[" Rank-1","MAP","Rank-1"],"first_row_in_archive_order":{"model":"IICS","paper_title":"Intra-Inter Camera Similarity for Unsupervised Person Re-Identification","paper_url":"/paper/intra-inter-camera-similarity-for","paper_date":"2021-03-22","arxiv_id":"2103.11658","code_links":[{"title":"SY-Xuan/IICS","url":"https://github.com/SY-Xuan/IICS"}],"syntology":{"n":8,"n_ran":5,"n_unverified":3,"n_pointer_only":8}}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-10","slug":"unsupervised-person-re-identification-on-10","dataset":"iLIDS-VID","dataset_url":"/dataset/ilids-vid","rows_in_archive":1,"metrics":[" Rank-1","Rank-5","Rank-20"],"first_row_in_archive_order":{"model":"uPMnet","paper_title":"Exploiting Robust Unsupervised Video Person Re-identification","paper_url":"/paper/exploiting-robust-unsupervised-video-person","paper_date":"2021-11-09","arxiv_id":"2111.05170","code_links":[{"title":"deropty/uPMnet","url":"https://github.com/deropty/uPMnet"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-13","slug":"unsupervised-person-re-identification-on-13","dataset":"ClonedPerson","dataset_url":"/dataset/clonedperson","rows_in_archive":1,"metrics":["mAP","Rank-1"],"first_row_in_archive_order":{"model":"SpCL","paper_title":"Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification","paper_url":"/paper/cloning-outfits-from-real-world-images-to-3d","paper_date":"2022-04-06","arxiv_id":"2204.02611","code_links":[{"title":"shengcailiao/QAConv","url":"https://github.com/shengcailiao/QAConv"},{"title":"yanan-wang-cs/clonedperson","url":"https://github.com/yanan-wang-cs/clonedperson"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-14","slug":"unsupervised-person-re-identification-on-14","dataset":"PersonX","dataset_url":null,"rows_in_archive":1,"metrics":["Rank-1","Rank-5","mAP"],"first_row_in_archive_order":{"model":"Cluster Contrast","paper_title":"Cluster Contrast for Unsupervised Person Re-Identification","paper_url":"/paper/cluster-contrast-for-unsupervised-person-re","paper_date":"2021-03-22","arxiv_id":"2103.11568","code_links":[{"title":"alibaba/cluster-contrast","url":"https://github.com/alibaba/cluster-contrast"},{"title":"alibaba/cluster-contrast-reid","url":"https://github.com/alibaba/cluster-contrast-reid"},{"title":"wangguangyuan/ClusterContrast","url":"https://github.com/wangguangyuan/ClusterContrast"},{"title":"2020132075/conmae","url":"https://github.com/2020132075/conmae"}],"syntology":{"n":14,"n_ran":8,"n_unverified":6,"n_pointer_only":0}}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-9","slug":"unsupervised-person-re-identification-on-9","dataset":"PRID2011","dataset_url":"/dataset/prid2011","rows_in_archive":1,"metrics":[" Rank-1","Rank-5","Rank-20"],"first_row_in_archive_order":{"model":"uPMnet","paper_title":"Exploiting Robust Unsupervised Video Person Re-identification","paper_url":"/paper/exploiting-robust-unsupervised-video-person","paper_date":"2021-11-09","arxiv_id":"2111.05170","code_links":[{"title":"deropty/uPMnet","url":"https://github.com/deropty/uPMnet"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-ltcc","slug":"unsupervised-person-re-identification-on-ltcc","dataset":"LTCC","dataset_url":"/dataset/ltcc","rows_in_archive":1,"metrics":["Rank-1","mAP"],"first_row_in_archive_order":{"model":"MaskCL","paper_title":"SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change","paper_url":"/paper/maskcl-semantic-mask-driven-contrastive","paper_date":"2023-05-23","arxiv_id":"2305.13600","code_links":[{"title":"MingkunLishigure/MaskCL","url":"https://github.com/MingkunLishigure/MaskCL"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-mars","slug":"unsupervised-person-re-identification-on-mars","dataset":"MARS","dataset_url":"/dataset/mars","rows_in_archive":1,"metrics":["mAP","rank-1"],"first_row_in_archive_order":{"model":"AuxUSLReID","paper_title":"A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets","paper_url":"/paper/a-high-accuracy-unsupervised-person-re","paper_date":"2022-05-06","arxiv_id":"2205.03124","code_links":[{"title":"tenghehan/AuxUSLReID","url":"https://github.com/tenghehan/AuxUSLReID"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-prcc","slug":"unsupervised-person-re-identification-on-prcc","dataset":"PRCC","dataset_url":"/dataset/prcc","rows_in_archive":1,"metrics":["Rank-1","mAP"],"first_row_in_archive_order":{"model":"SiCL","paper_title":"SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change","paper_url":"/paper/maskcl-semantic-mask-driven-contrastive","paper_date":"2023-05-23","arxiv_id":"2305.13600","code_links":[{"title":"MingkunLishigure/MaskCL","url":"https://github.com/MingkunLishigure/MaskCL"}],"syntology":null}},{"leaderboard":"/sota/unsupervised-person-re-identification-on-vc","slug":"unsupervised-person-re-identification-on-vc","dataset":"VC-Clothes","dataset_url":"/dataset/vc-clothes","rows_in_archive":1,"metrics":["Rank-1","mAP"],"first_row_in_archive_order":{"model":"SiCL","paper_title":"SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change","paper_url":"/paper/maskcl-semantic-mask-driven-contrastive","paper_date":"2023-05-23","arxiv_id":"2305.13600","code_links":[{"title":"MingkunLishigure/MaskCL","url":"https://github.com/MingkunLishigure/MaskCL"}],"syntology":null}}],"datasets":[{"url":"/dataset/market-1501","name":"Market-1501","full_name":"","num_papers_in_archive":873},{"url":"/dataset/dukemtmc-reid","name":"DukeMTMC-reID","full_name":"","num_papers_in_archive":344},{"url":"/dataset/msmt17","name":"MSMT17","full_name":"Multi Scene Multi Time dataset for person re-id","num_papers_in_archive":275},{"url":"/dataset/mars","name":"MARS","full_name":"Motion Analysis and Re-identification Set","num_papers_in_archive":181},{"url":"/dataset/dukemtmc-videoreid","name":"DukeMTMC-VideoReID","full_name":"","num_papers_in_archive":49},{"url":"/dataset/prcc","name":"PRCC","full_name":"","num_papers_in_archive":41},{"url":"/dataset/ltcc","name":"LTCC","full_name":"","num_papers_in_archive":38},{"url":"/dataset/ilids-vid","name":"iLIDS-VID","full_name":"iLIDS-VID","num_papers_in_archive":20},{"url":"/dataset/prid2011","name":"PRID2011","full_name":"Person RE-ID 2011","num_papers_in_archive":19},{"url":"/dataset/vc-clothes","name":"VC-Clothes","full_name":"VC-Clothes","num_papers_in_archive":19},{"url":"/dataset/clonedperson","name":"ClonedPerson","full_name":"","num_papers_in_archive":6}],"subtasks":[],"parent_tasks":[{"url":"/task/person-re-identification","name":"Person Re-Identification"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":62,"tagged_in_all":107,"items":[{"url":"/paper/joint-discriminative-and-generative-learning","title":"Joint Discriminative and Generative Learning for Person Re-identification","date":"2019-04-15","arxiv_id":"1904.07223","repositories_listed":12,"syntology":{"n":19,"n_ran":11,"n_unverified":8,"n_pointer_only":0}},{"url":"/paper/learning-generalisable-omni-scale","title":"Learning Generalisable Omni-Scale Representations for Person Re-Identification","date":"2019-10-15","arxiv_id":"1910.06827","repositories_listed":9,"syntology":{"n":9,"n_ran":6,"n_unverified":3,"n_pointer_only":6}},{"url":"/paper/cluster-contrast-for-unsupervised-person-re","title":"Cluster Contrast for Unsupervised Person Re-Identification","date":"2021-03-22","arxiv_id":"2103.11568","repositories_listed":4,"syntology":{"n":14,"n_ran":8,"n_unverified":6,"n_pointer_only":0}},{"url":"/paper/self-supervised-pre-training-for-transformer","title":"Self-Supervised Pre-Training for Transformer-Based Person Re-Identification","date":"2021-11-23","arxiv_id":"2111.12084","repositories_listed":3,"syntology":{"n":8,"n_ran":3,"n_unverified":5,"n_pointer_only":8}},{"url":"/paper/self-paced-contrastive-learning-with-hybrid","title":"Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID","date":"2020-06-04","arxiv_id":"2006.02713","repositories_listed":3,"syntology":{"n":5,"n_ran":3,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/structured-domain-adaptation-for-unsupervised","title":"Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID","date":"2020-03-14","arxiv_id":"2003.06650","repositories_listed":3,"syntology":null},{"url":"/paper/cloning-outfits-from-real-world-images-to-3d","title":"Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification","date":"2022-04-06","arxiv_id":"2204.02611","repositories_listed":2,"syntology":null},{"url":"/paper/unsupervised-person-re-identification-with-1","title":"Unsupervised Person Re-identification with Stochastic Training Strategy","date":"2021-08-16","arxiv_id":"2108.06938","repositories_listed":2,"syntology":null},{"url":"/paper/group-sampling-for-unsupervised-person-re","title":"Rethinking Sampling Strategies for Unsupervised Person Re-identification","date":"2021-07-07","arxiv_id":"2107.03024","repositories_listed":2,"syntology":null},{"url":"/paper/joint-generative-and-contrastive-learning-for","title":"Joint Generative and Contrastive Learning for Unsupervised Person Re-identification","date":"2020-12-16","arxiv_id":"2012.09071","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/weakly-supervised-discriminative-feature","title":"Weakly supervised discriminative feature learning with state information for person identification","date":"2020-02-27","arxiv_id":"2002.11939","repositories_listed":2,"syntology":null},{"url":"/paper/mutual-mean-teaching-pseudo-label-refinery-1","title":"Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification","date":"2020-01-06","arxiv_id":"2001.01526","repositories_listed":2,"syntology":{"n":8,"n_ran":8,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/tcmm-token-constraint-and-multi-scale-memory","title":"TCMM: Token Constraint and Multi-Scale Memory Bank of Contrastive Learning for Unsupervised Person Re-identification","date":"2025-01-15","arxiv_id":"2501.09044","repositories_listed":1,"syntology":null},{"url":"/paper/3c-confidence-guided-clustering-and","title":"3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-Identification","date":"2024-08-18","arxiv_id":"2408.09464","repositories_listed":1,"syntology":null},{"url":"/paper/core-reid-comprehensive-optimization-and","title":"CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-Identification","date":"2024-06-03","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/camera-aware-label-refinement-for","title":"Camera-aware Label Refinement for Unsupervised Person Re-identification","date":"2024-03-25","arxiv_id":"2403.16450","repositories_listed":1,"syntology":null},{"url":"/paper/ca-jaccard-camera-aware-jaccard-distance-for","title":"CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification","date":"2023-11-17","arxiv_id":"2311.10605","repositories_listed":1,"syntology":{"n":10,"n_ran":5,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/prototypical-contrastive-learning-based-clip","title":"Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification","date":"2023-10-26","arxiv_id":"2310.17218","repositories_listed":1,"syntology":null},{"url":"/paper/hierarchical-skeleton-meta-prototype","title":"Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification","date":"2023-07-24","arxiv_id":"2307.12917","repositories_listed":1,"syntology":null},{"url":"/paper/maskcl-semantic-mask-driven-contrastive","title":"SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change","date":"2023-05-23","arxiv_id":"2305.13600","repositories_listed":1,"syntology":null},{"url":"/paper/pseudo-labels-refinement-with-intra-camera","title":"Pseudo Labels Refinement with Intra-camera Similarity for Unsupervised Person Re-identification","date":"2023-04-25","arxiv_id":"2304.12634","repositories_listed":1,"syntology":null},{"url":"/paper/learning-transferable-pedestrian","title":"Learning Transferable Pedestrian Representation from Multimodal Information Supervision","date":"2023-04-12","arxiv_id":"2304.05554","repositories_listed":1,"syntology":null},{"url":"/paper/dynamic-clustering-and-cluster-contrastive","title":"Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identification","date":"2023-03-13","arxiv_id":"2303.06810","repositories_listed":1,"syntology":null},{"url":"/paper/learning-invariance-from-generated-variance","title":"Learning Invariance from Generated Variance for Unsupervised Person Re-identification","date":"2023-01-02","arxiv_id":"2301.00725","repositories_listed":1,"syntology":null},{"url":"/paper/transformer-based-multi-grained-features-for","title":"Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification","date":"2022-11-22","arxiv_id":"2211.12280","repositories_listed":1,"syntology":null},{"url":"/paper/skeleton-prototype-contrastive-learning-with","title":"Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation Modeling for Unsupervised Person Re-Identification","date":"2022-08-25","arxiv_id":"2208.11814","repositories_listed":1,"syntology":null},{"url":"/paper/a-high-accuracy-unsupervised-person-re","title":"A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets","date":"2022-05-06","arxiv_id":"2205.03124","repositories_listed":1,"syntology":null},{"url":"/paper/simmc-simple-masked-contrastive-learning-of","title":"SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification","date":"2022-04-21","arxiv_id":"2204.09826","repositories_listed":1,"syntology":{"n":11,"n_ran":5,"n_unverified":6,"n_pointer_only":0}},{"url":"/paper/implicit-sample-extension-for-unsupervised","title":"Implicit Sample Extension for Unsupervised Person Re-Identification","date":"2022-04-14","arxiv_id":"2204.06892","repositories_listed":1,"syntology":null},{"url":"/paper/part-based-pseudo-label-refinement-for","title":"Part-based Pseudo Label Refinement for Unsupervised Person Re-identification","date":"2022-03-28","arxiv_id":"2203.14675","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_unverified":1,"n_pointer_only":0}}],"syntology_records":10,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-25T09:33:49+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}