{"url":"/dataset/youtube-vis-2022-validation","name":"Youtube-VIS 2022 Validation","full_name":null,"description_markdown":"Video object segmentation has been studied extensively in the past decade due to its importance in understanding video spatial-temporal structures as well as its value in industrial applications. Recently, data-driven algorithms (e.g. deep learning) have become the dominant approach to computer vision problems and one of the most important keys to their successes is the availability of large-scale datasets. Previously, we presented the first large-scale video object segmentation dataset named YouTubeVOS and hosted the Large-scale Video Object Segmentation Challenge in conjuction with ECCV 2018, ICCV 2019 and CVPR 2021. This year, we are thrilled to invite you to the 4th Large-scale Video Object Segmentation Challenge in conjunction with CVPR 2022. The benchmark would be an augmented version of the YouTubeVOS dataset with more annotations. Some incorrect annotations are also corrected. For more details, check our website for the workshop and challenge.","description_withheld":null,"homepage":"https://codalab.lisn.upsaclay.fr/competitions/3410","introduced_date":"2019-05-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/video-instance-segmentation","title":"Video Instance Segmentation","first_author":"Linjie Yang","url":null},"license":{"name":"Creative Commons Attribution 4.0 License","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Multi-Object Tracking","url":"/task/multi-object-tracking","datasets_with_task":"/datasets/task/multi-object-tracking"},{"name":"Video Instance Segmentation","url":"/task/video-instance-segmentation","datasets_with_task":"/datasets/task/video-instance-segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Youtube-VIS 2022 Validation"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-instance-segmentation-on-youtube-vis-3","task":"Video Instance Segmentation","dataset_variant":"Youtube-VIS 2022 Validation","rows":7,"metrics":["mAP_L","AP50_L","AP75_L","AR1_L","AR10_L"],"first_row_in_archive_order":{"model":"DVIS++(VIT-L)","paper":"/paper/dvis-improved-decoupled-framework-for","metrics":{"AP50_L":"75.7","AP75_L":"52.8","AR10_L":"55.8","AR1_L":"40.6","mAP_L":"50.9"},"code_links":[{"title":"zhang-tao-whu/DVIS_Plus","url":"https://github.com/zhang-tao-whu/DVIS_Plus"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/context-aware-video-instance-segmentation","title":"Context-Aware Video Instance Segmentation","date":"2024-07-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dvis-improved-decoupled-framework-for","title":"DVIS++: Improved Decoupled Framework for Universal Video Segmentation","date":"2023-12-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/ctvis-consistent-training-for-online-video","title":"CTVIS: Consistent Training for Online Video Instance Segmentation","date":"2023-07-24","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":4,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/dvis-decoupled-video-instance-segmentation","title":"DVIS: Decoupled Video Instance Segmentation Framework","date":"2023-06-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/instanceformer-an-online-video-instance","title":"InstanceFormer: An Online Video Instance Segmentation Framework","date":"2022-08-22","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":7,"samples_ran":4,"samples_unverified":3,"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."}