{"url":"/dataset/vc-clothes","name":"VC-Clothes","full_name":"VC-Clothes","description_markdown":"Person re-identification (Reid) is now an active research topic for AI-based video surveillance applications such as specific person search, but the practical issue that the target person(s) may change clothes (clothes inconsistency problem) has been overlooked for long. For the first time, this paper systematically studies this problem. We first overcome the difficulty of lack of suitable dataset, by collecting a small yet representative real dataset for testing whilst building a large realistic synthetic dataset for training and deeper studies. Facilitated by our new datasets, we are able to conduct various interesting new experiments for studying the influence of clothes inconsistency. We find that changing clothes makes Reid a much harder problem in the sense of bringing difficulties to learning effective representations and also challenges the generalization ability of previous Reid models to identify persons with unseen (new) clothes. Representative existing Reid models are adopted to show informative results on such a challenging setting, and we also provide some preliminary efforts on improving the robustness of existing models on handling the clothes inconsistency issue in the data. We believe that this study can be inspiring and helpful for encouraging more researches in this direction. The dataset is avaliable on the project website: https://wanfb.github.io/dataset.html.","description_withheld":null,"homepage":"https://wanfb.github.io/dataset.html","introduced_date":"2020-03-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/when-person-re-identification-meets-changing","title":"When Person Re-identification Meets Changing Clothes","first_author":"Fangbin Wan","url":null},"license":{"name":"https://wanfb.github.io/dataset.html","url":"https://wanfb.github.io/dataset.html"},"modalities":[],"tasks":[{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Unsupervised Person Re-Identification","url":"/task/unsupervised-person-re-identification","datasets_with_task":"/datasets/task/unsupervised-person-re-identification"}],"languages":[],"variants":["VC-Clothes"],"data_loaders":[],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/person-re-identification-on-vc-clothes","task":"Person Re-Identification","dataset_variant":"VC-Clothes","rows":6,"metrics":[" Rank-1","mAP"],"first_row_in_archive_order":{"model":"CAL+DLCR","paper":"/paper/dlcr-a-generative-data-expansion-framework","metrics":{" Rank-1":"87.1","mAP":"81.1"},"code_links":[{"title":"croitorualin/dlcr","url":"https://github.com/croitorualin/dlcr"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/unsupervised-person-re-identification-on-vc","task":"Unsupervised Person Re-Identification","dataset_variant":"VC-Clothes","rows":1,"metrics":["Rank-1","mAP"],"first_row_in_archive_order":{"model":"SiCL","paper":"/paper/maskcl-semantic-mask-driven-contrastive","metrics":{"Rank-1":"71.7","mAP":"63.9"},"code_links":[{"title":"MingkunLishigure/MaskCL","url":"https://github.com/MingkunLishigure/MaskCL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/dlcr-a-generative-data-expansion-framework","title":"DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID","date":"2024-11-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/ccup-a-controllable-synthetic-data-generation","title":"CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models","date":"2024-10-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/maskcl-semantic-mask-driven-contrastive","title":"SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change","date":"2023-05-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/clothes-changing-person-re-identification","title":"Clothes-Changing Person Re-identification with RGB Modality Only","date":"2022-04-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-3d-shape-feature-for-texture","title":"Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification","date":"2021-06-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/fine-grained-shape-appearance-mutual-learning","title":"Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification","date":"2021-06-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/cloth-changing-person-re-identification-from","title":"Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization","date":"2021-03-29","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}