{"url":"/task/class-incremental-semantic-segmentation","name":"Class-Incremental Semantic Segmentation","slug":"class-incremental-semantic-segmentation","description_markdown":"Semantic segmentation with continous increments of classes.","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":"derived"},"counts":{"papers_tagged":31,"papers_with_code":16,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"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":0,"subtasks":12,"parent_tasks":2},"benchmarks":[],"datasets":[],"subtasks":[{"url":"/task/disjoint-10-1","name":"Disjoint 10-1"},{"url":"/task/disjoint-15-1","name":"Disjoint 15-1"},{"url":"/task/disjoint-15-5","name":"Disjoint 15-5"},{"url":"/task/overlapped-10-1","name":"Overlapped 10-1"},{"url":"/task/overlapped-100-10","name":"Overlapped 100-10"},{"url":"/task/overlapped-100-5","name":"Overlapped 100-5"},{"url":"/task/overlapped-100-50","name":"Overlapped 100-50"},{"url":"/task/overlapped-14-1","name":"Overlapped 14-1"},{"url":"/task/overlapped-15-1","name":"Overlapped 15-1"},{"url":"/task/overlapped-15-5","name":"Overlapped 15-5"},{"url":"/task/overlapped-5-3","name":"Overlapped 5-3"},{"url":"/task/overlapped-50-50","name":"Overlapped 50-50"}],"parent_tasks":[{"url":"/task/class-incremental-learning","name":"Class Incremental Learning"},{"url":"/task/semantic-segmentation","name":"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":16,"of":16,"tagged_in_all":31,"items":[{"url":"/paper/ipseg-image-posterior-mitigates-semantic","title":"IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation","date":"2025-02-07","arxiv_id":"2502.04870","repositories_listed":1,"syntology":null},{"url":"/paper/adaptive-prototype-replay-for-class","title":"Adaptive Prototype Replay for Class Incremental Semantic Segmentation","date":"2024-12-17","arxiv_id":"2412.12669","repositories_listed":1,"syntology":null},{"url":"/paper/segacil-solving-the-stability-plasticity","title":"SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation","date":"2024-12-14","arxiv_id":"2412.10834","repositories_listed":1,"syntology":null},{"url":"/paper/cit-rethinking-class-incremental-semantic","title":"CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent Transformation","date":"2024-11-05","arxiv_id":"2411.02715","repositories_listed":1,"syntology":null},{"url":"/paper/early-preparation-pays-off-new-classifier-pre","title":"Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation","date":"2024-07-19","arxiv_id":"2407.14142","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_unverified":0,"n_pointer_only":6}},{"url":"/paper/mitigating-background-shift-in-class","title":"Mitigating Background Shift in Class-Incremental Semantic Segmentation","date":"2024-07-16","arxiv_id":"2407.11859","repositories_listed":1,"syntology":null},{"url":"/paper/towards-realistic-incremental-scenario-in","title":"Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation","date":"2024-05-16","arxiv_id":"2405.09858","repositories_listed":1,"syntology":null},{"url":"/paper/coinseg-contrast-inter-and-intra-class-1","title":"CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation","date":"2023-10-10","arxiv_id":"2310.06368","repositories_listed":1,"syntology":{"n":15,"n_ran":10,"n_unverified":5,"n_pointer_only":15}},{"url":"/paper/few-shot-class-incremental-semantic","title":"Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation","date":"2023-08-05","arxiv_id":"2308.02790","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-multi-grained-knowledge-reuse-for","title":"Evolving Knowledge Mining for Class Incremental Segmentation","date":"2023-06-03","arxiv_id":"2306.02027","repositories_listed":1,"syntology":null},{"url":"/paper/geometry-and-uncertainty-aware-3d-point-cloud","title":"Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation","date":"2023-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/mining-unseen-classes-via-regional-objectness","title":"Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation","date":"2022-11-13","arxiv_id":"2211.06866","repositories_listed":1,"syntology":null},{"url":"/paper/attribution-aware-weight-transfer-a-warm","title":"Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation","date":"2022-10-13","arxiv_id":"2210.07207","repositories_listed":1,"syntology":{"n":8,"n_ran":1,"n_unverified":7,"n_pointer_only":0}},{"url":"/paper/decomposed-knowledge-distillation-for-class","title":"Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation","date":"2022-10-12","arxiv_id":"2210.05941","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/causes-of-catastrophic-forgetting-in-class","title":"Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation","date":"2022-09-16","arxiv_id":"2209.08010","repositories_listed":1,"syntology":null},{"url":"/paper/ssul-semantic-segmentation-with-unknown-label","title":"SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning","date":"2021-06-22","arxiv_id":"2106.11562","repositories_listed":1,"syntology":{"n":12,"n_ran":6,"n_unverified":6,"n_pointer_only":12}}],"syntology_records":5,"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"}}