{"url":"/sota/unsupervised-domain-adaptation-on","task":{"name":"Unsupervised Domain Adaptation","url":"/task/unsupervised-domain-adaptation","note":null},"dataset":{"name":"ClonedPerson","url":"/dataset/clonedperson"},"category":"Computer Vision","categories":["Computer Vision","Methodology"],"category_note":null,"description":"**Unsupervised Domain Adaptation** is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.\r\n\r\n\r\n<span class=\"description-source\">Source: [Domain-Specific Batch Normalization for Unsupervised Domain Adaptation ](https://arxiv.org/abs/1906.03950)</span>","description_from":"task","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","rank":"the archive's row order at snapshot; not re-ranked","rows_end_at":"2025-07-28","rows_withheld_as_spam":0,"metric_values":"the archive's strings, untouched"},"metrics":["MSMT17->mAP","MSMT17->Rank-1","Market-1501->mAP","Market-1501->Rank-1","CUHK03-NP->mAP","CUHK03-NP->Rank-1"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"MSMT17->mAP":"higher","MSMT17->Rank-1":null,"Market-1501->mAP":"higher","Market-1501->Rank-1":null,"CUHK03-NP->mAP":"higher","CUHK03-NP->Rank-1":null}},"counts":{"rows":1,"rows_with_code":1,"rows_with_paper_page":1,"rows_dated":1,"rows_using_additional_data":1},"rows":[{"rank_in_archive_order":1,"model":"SpCL","metrics":{"CUHK03-NP->Rank-1":"11.5","CUHK03-NP->mAP":"1.0","MSMT17->Rank-1":"10.2","MSMT17->mAP":"0.9","Market-1501->Rank-1":"12.0","Market-1501->mAP":"1.1"},"uses_additional_data":true,"paper_date":"2022-04-06","paper":"/paper/cloning-outfits-from-real-world-images-to-3d","paper_url":"https://arxiv.org/abs/2204.02611v2","paper_title":"Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification","code":"https://github.com/shengcailiao/QAConv","n_code_links":2,"syntology":null}],"since_archive":{"present":false,"note":"No Syntology-extracted rows are published in this build."},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per row: N of M harvested code samples from that row's paper executed on a synthesized fixture; the other M-N are unverified. Not a reproduction of the row's number; not a correctness claim. n_pointer_only_licence counts samples the site points at rather than redistributes (a licence axis, independent of ran/unverified).","rows_with_graph_line":0,"rows_with_any_sample_ran":0,"distinct_papers_with_graph_line":0,"distinct_papers_with_any_sample_ran":0,"samples_over_distinct_papers":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"row-weighted: a paper behind several rows is counted once per row; inflated relative to samples_over_distinct_papers by design, kept for readers summing the per-row syntology blocks"}}}