{"url":"/task/uncertainty-aware-panoptic-segmentation","name":"Uncertainty-Aware Panoptic Segmentation","slug":"uncertainty-aware-panoptic-segmentation","description_markdown":"The ternary difficulty levels assigned to each pixel during the annotation of\r\nMUSES enable a novel task: uncertainty-aware panoptic segmen-\r\ntation. In this task, a panoptic segmentation model is compensated for errors in\r\ndifficult image regions if it predicts the difficulty level correctly. To incorporate\r\nthis idea into evaluation, we introduce the uncertainty-aware panoptic quality\r\n(UPQ) metric, an extension of panoptic quality.","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":4,"papers_with_code":3,"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/uncertainty-aware-panoptic-segmentation-on","slug":"uncertainty-aware-panoptic-segmentation-on","dataset":"MUSES: MUlti-SEnsor Semantic perception dataset","dataset_url":"/dataset/muses-multi-sensor-semantic-perception","rows_in_archive":1,"metrics":["AUPQ"],"first_row_in_archive_order":{"model":"Mask2Former (Swin-T)","paper_title":"MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty","paper_url":"/paper/muses-the-multi-sensor-semantic-perception","paper_date":"2024-01-23","arxiv_id":"2401.12761","code_links":[{"title":"timbroed/MUSES","url":"https://github.com/timbroed/MUSES"}],"syntology":{"n":13,"n_ran":12,"n_unverified":1,"n_pointer_only":13}}}],"datasets":[{"url":"/dataset/muses-multi-sensor-semantic-perception","name":"MUSES: MUlti-SEnsor Semantic perception dataset","full_name":"The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty","num_papers_in_archive":4}],"subtasks":[],"parent_tasks":[{"url":"/task/panoptic-segmentation","name":"Panoptic 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":3,"of":3,"tagged_in_all":4,"items":[{"url":"/paper/muses-the-multi-sensor-semantic-perception","title":"MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty","date":"2024-01-23","arxiv_id":"2401.12761","repositories_listed":1,"syntology":{"n":13,"n_ran":12,"n_unverified":1,"n_pointer_only":13}},{"url":"/paper/uncertainty-aware-lidar-panoptic-segmentation","title":"Uncertainty-aware LiDAR Panoptic Segmentation","date":"2022-10-10","arxiv_id":"2210.04472","repositories_listed":1,"syntology":null},{"url":"/paper/uncertainty-aware-panoptic-segmentation","title":"Uncertainty-aware Panoptic Segmentation","date":"2022-06-29","arxiv_id":"2206.14554","repositories_listed":1,"syntology":null}],"syntology_records":1,"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"}}