{"url":"/sota/semi-supervised-video-object-segmentation-on-23","task":{"name":"Semi-Supervised Video Object Segmentation","url":"/task/semi-supervised-video-object-segmentation","note":null},"dataset":{"name":"BURST-test","url":"/dataset/burst"},"category":"Computer Vision","categories":["Computer Vision"],"category_note":null,"description":"The semi-supervised scenario assumes the user inputs a full mask of the object(s) of interest in the first frame of a video sequence. Methods have to produce the segmentation mask for that object(s) in the subsequent frames.","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":["HOTA (all)","HOTA (common)","HOTA (uncommon)"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"HOTA (all)":null,"HOTA (common)":null,"HOTA (uncommon)":null}},"counts":{"rows":2,"rows_with_code":2,"rows_with_paper_page":2,"rows_dated":2,"rows_using_additional_data":2},"rows":[{"rank_in_archive_order":1,"model":"Cutie (base, MEGA, 600 pixels)","metrics":{"HOTA (all)":"66.0","HOTA (common)":"66.5","HOTA (uncommon)":"65.9"},"uses_additional_data":true,"paper_date":"2023-10-19","paper":"/paper/putting-the-object-back-into-video-object","paper_url":"https://arxiv.org/abs/2310.12982v2","paper_title":"Putting the Object Back into Video Object Segmentation","code":"https://github.com/hkchengrex/Cutie","n_code_links":1,"syntology":{"n_ran":3,"n_unverified":2,"n_samples":5,"n_pointer_only_licence":0}},{"rank_in_archive_order":2,"model":"Cutie (base, with mose, 600 pixels)","metrics":{"HOTA (all)":"62.6","HOTA (common)":"63.8","HOTA (uncommon)":"62.3"},"uses_additional_data":true,"paper_date":"2023-10-19","paper":"/paper/putting-the-object-back-into-video-object","paper_url":"https://arxiv.org/abs/2310.12982v2","paper_title":"Putting the Object Back into Video Object Segmentation","code":"https://github.com/hkchengrex/Cutie","n_code_links":1,"syntology":{"n_ran":3,"n_unverified":2,"n_samples":5,"n_pointer_only_licence":0}}],"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":2,"rows_with_any_sample_ran":2,"distinct_papers_with_graph_line":1,"distinct_papers_with_any_sample_ran":1,"samples_over_distinct_papers":{"n_ran":3,"n_unverified":2,"n_samples":5,"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":6,"n_unverified":4,"n_samples":10,"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"}}}