{"url":"/dataset/ude-domainnet","name":"UDE-DomainNet","full_name":"UDE-DomainNet","description_markdown":"Different from the setting of domain adaptation which uses all labeled source and unlabeled target domain examples for training,  domain examples should be divided into two disjoint parts: training and test.  UDE-DomainNet is built from DomainNet, so the performance of domain-adapted or domain-expanded models on the source and target domain can be evaluated.","description_withheld":null,"homepage":"https://github.com/li-xirong/ude","introduced_date":"2021-04-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/unsupervised-domain-expansion-for-visual","title":"Unsupervised Domain Expansion for Visual Categorization","first_author":"Jie Wang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Unsupervised Domain Expansion","url":"/task/unsupervised-domain-expansion","datasets_with_task":"/datasets/task/unsupervised-domain-expansion"}],"languages":[],"variants":["UDE-DomainNet"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/unsupervised-domain-expansion-on-ude","task":"Unsupervised Domain Expansion","dataset_variant":"UDE-DomainNet","rows":1,"metrics":["1:1 Accuracy"],"first_row_in_archive_order":{"model":"KDDE","paper":"/paper/unsupervised-domain-expansion-for-visual","metrics":{"1:1 Accuracy":"60.91"},"code_links":[{"title":"theeighthday/co-teaching","url":"https://github.com/theeighthday/co-teaching"},{"title":"li-xirong/ude","url":"https://github.com/li-xirong/ude"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/unsupervised-domain-expansion-for-visual","title":"Unsupervised Domain Expansion for Visual Categorization","date":"2021-04-01","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":3,"samples_unverified":8,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":11,"samples_ran":3,"samples_unverified":8,"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."}