{"url":"/dataset/vot2020","name":"VOT2020","full_name":null,"description_markdown":"VOT2020 is a Visual Object Tracking benchmark for short-term tracking in RGB.","description_withheld":null,"homepage":"https://www.votchallenge.net/vot2020/dataset.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[{"name":"Visual Object Tracking","url":"/task/visual-object-tracking","datasets_with_task":"/datasets/task/visual-object-tracking"},{"name":"Semi-Supervised Video Object Segmentation","url":"/task/semi-supervised-video-object-segmentation","datasets_with_task":"/datasets/task/semi-supervised-video-object-segmentation"}],"languages":[],"variants":["VOT2020"],"data_loaders":[],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semi-supervised-video-object-segmentation-on-15","task":"Semi-Supervised Video Object Segmentation","dataset_variant":"VOT2020","rows":20,"metrics":["EAO","EAO (real-time)"],"first_row_in_archive_order":{"model":"DAM4SAM","paper":"/paper/a-distractor-aware-memory-for-visual-object","metrics":{"EAO":"0.729"},"code_links":[{"title":"jovanavidenovic/dam4sam","url":"https://github.com/jovanavidenovic/dam4sam"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/exploring-enhanced-contextual-information-for-1","title":"Exploring Enhanced Contextual Information for Video-Level Object Tracking","date":"2024-12-15","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/a-distractor-aware-memory-for-visual-object","title":"A Distractor-Aware Memory for Visual Object Tracking with SAM2","date":"2024-11-26","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":3,"samples_unverified":8,"pointer_only_for_licence":11,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/odtrack-online-dense-temporal-token-learning","title":"ODTrack: Online Dense Temporal Token Learning for Visual Tracking","date":"2024-01-03","rows_on_this_dataset":2,"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/decoupling-features-in-hierarchical","title":"Decoupling Features in Hierarchical Propagation for Video Object Segmentation","date":"2022-10-18","rows_on_this_dataset":6,"code_links":2,"syntology":null},{"paper":"/paper/mixformer-end-to-end-tracking-with-iterative-1","title":"MixFormer: End-to-End Tracking with Iterative Mixed Attention","date":"2022-03-21","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/associating-objects-with-transformers-for","title":"Associating Objects with Transformers for Video Object Segmentation","date":"2021-06-04","rows_on_this_dataset":6,"code_links":2,"syntology":null},{"paper":"/paper/alpha-refine-boosting-tracking-performance-by-1","title":"Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation","date":"2020-12-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/rpt-learning-point-set-representation-for","title":"RPT: Learning Point Set Representation for Siamese Visual Tracking","date":"2020-08-08","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":13,"samples_ran":5,"samples_unverified":8,"pointer_only_for_licence":11,"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."}