{"url":"/sota/semi-supervised-video-object-segmentation-on-17","task":{"name":"Semi-Supervised Video Object Segmentation","url":"/task/semi-supervised-video-object-segmentation","note":null},"dataset":{"name":"DAVIS 2017","url":"/dataset/davis-2017"},"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":["F-measure (Decay)","F-measure (Mean)","F-measure (Recall)","J&F","Jaccard (Decay)","Jaccard (Mean)","Jaccard (Recall)"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"F-measure (Decay)":null,"F-measure (Mean)":null,"F-measure (Recall)":"higher","J&F":null,"Jaccard (Decay)":null,"Jaccard (Mean)":null,"Jaccard (Recall)":"higher"}},"counts":{"rows":1,"rows_with_code":1,"rows_with_paper_page":1,"rows_dated":1,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"FEELVOS","metrics":{"F-measure (Decay)":"20.1","F-measure (Mean)":"74.0","F-measure (Recall)":"83.8","J&F":"71.55","Jaccard (Decay)":"17.5","Jaccard (Mean)":"69.1","Jaccard (Recall)":"79.1"},"uses_additional_data":false,"paper_date":"2019-02-25","paper":"/paper/feelvos-fast-end-to-end-embedding-learning","paper_url":"http://arxiv.org/abs/1902.09513v2","paper_title":"FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation","code":"https://github.com/tensorflow/models","n_code_links":3,"syntology":{"n_ran":1,"n_unverified":8,"n_samples":9,"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":1,"rows_with_any_sample_ran":1,"distinct_papers_with_graph_line":1,"distinct_papers_with_any_sample_ran":1,"samples_over_distinct_papers":{"n_ran":1,"n_unverified":8,"n_samples":9,"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":1,"n_unverified":8,"n_samples":9,"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"}}}