{"url":"/task/camera-shot-segmentation","name":"Camera shot segmentation","slug":"camera-shot-segmentation","description_markdown":"Camera shot temporal segmentation consists in classifying each video frame according to the type of camera used to record said frame. This task is introduced with the SoccerNet-v2 dataset, where 13 camera classes are considered (main camera, behind the goal, corner camera, etc.).","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":1,"papers_with_code":1,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/camera-shot-segmentation-on-soccernet-v2","slug":"camera-shot-segmentation-on-soccernet-v2","dataset":"SoccerNet-v2","dataset_url":"/dataset/soccernet-v2","rows_in_archive":2,"metrics":["mIoU"],"first_row_in_archive_order":{"model":"CALF (Cioppa et al.)","paper_title":"SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos","paper_url":"/paper/soccernet-v2-a-dataset-and-benchmarks-for","paper_date":"2020-11-26","arxiv_id":"2011.13367","code_links":[{"title":"SilvioGiancola/SoccerNetv2-DevKit","url":"https://github.com/SilvioGiancola/SoccerNetv2-DevKit"},{"title":"soccernet/sn-spotting","url":"https://github.com/soccernet/sn-spotting"},{"title":"aimagelab/rmsnet_soccer","url":"https://github.com/aimagelab/rmsnet_soccer"},{"title":"soccernet/sn-grounding","url":"https://github.com/soccernet/sn-grounding"}],"syntology":null}}],"datasets":[{"url":"/dataset/soccernet-v2","name":"SoccerNet-v2","full_name":"","num_papers_in_archive":58}],"subtasks":[],"parent_tasks":[{"url":"/task/video-semantic-segmentation","name":"Video Semantic Segmentation"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":1,"of":1,"tagged_in_all":1,"items":[{"url":"/paper/soccernet-v2-a-dataset-and-benchmarks-for","title":"SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos","date":"2020-11-26","arxiv_id":"2011.13367","repositories_listed":4,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}