{"url":"/sota/3d-instance-segmentation-on-scannet200","task":{"name":"3D Instance Segmentation","url":"/task/3d-instance-segmentation-1","note":null},"dataset":{"name":"ScanNet200","url":"/dataset/scannet200"},"category":"Computer Vision","categories":["Computer Vision"],"category_note":null,"description":"Image: [OccuSeg](https://arxiv.org/pdf/2003.06537v3.pdf)","description_from":"task","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","rank":"the archive's row order at snapshot; not re-ranked","rows_end_at":"2025-07-28","rows_withheld_as_spam":0,"metric_values":"the archive's strings, untouched"},"metrics":["mAP","mAP@25","mAP@50"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"mAP":"higher","mAP@25":"higher","mAP@50":"higher"}},"counts":{"rows":5,"rows_with_code":4,"rows_with_paper_page":5,"rows_dated":5,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"ODIN","metrics":{"mAP":"31.5","mAP@25":"53.1","mAP@50":"45.3"},"uses_additional_data":false,"paper_date":"2024-01-04","paper":"/paper/odin-a-single-model-for-2d-and-3d-perception","paper_url":"https://arxiv.org/abs/2401.02416v3","paper_title":"ODIN: A Single Model for 2D and 3D Segmentation","code":"https://github.com/ayushjain1144/odin","n_code_links":1,"syntology":{"n_ran":3,"n_unverified":5,"n_samples":8,"n_pointer_only_licence":0}},{"rank_in_archive_order":2,"model":"Mask3D","metrics":{"mAP":"27.8"},"uses_additional_data":false,"paper_date":"2022-10-06","paper":"/paper/mask3d-for-3d-semantic-instance-segmentation","paper_url":"https://arxiv.org/abs/2210.03105v2","paper_title":"Mask3D: Mask Transformer for 3D Semantic Instance Segmentation","code":"https://github.com/jonasschult/mask3d","n_code_links":1,"syntology":{"n_ran":2,"n_unverified":8,"n_samples":10,"n_pointer_only_licence":0}},{"rank_in_archive_order":3,"model":"MSTA3D","metrics":{"mAP":"26.2","mAP@25":"40.1","mAP@50":"35.2"},"uses_additional_data":false,"paper_date":"2024-11-04","paper":"/paper/msta3d-multi-scale-twin-attention-for-3d-1","paper_url":"https://arxiv.org/abs/2411.01781v3","paper_title":"MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation","code":null,"n_code_links":0,"syntology":null},{"rank_in_archive_order":4,"model":"ISBNet","metrics":{"mAP":"24.5"},"uses_additional_data":false,"paper_date":"2023-03-01","paper":"/paper/isbnet-a-3d-point-cloud-instance-segmentation","paper_url":"https://arxiv.org/abs/2303.00246v2","paper_title":"ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution","code":"https://github.com/VinAIResearch/ISBNet","n_code_links":2,"syntology":{"n_ran":2,"n_unverified":17,"n_samples":19,"n_pointer_only_licence":0}},{"rank_in_archive_order":5,"model":"Open3DIS (Open-Vocabulary)","metrics":{"mAP":"23.7"},"uses_additional_data":false,"paper_date":"2023-12-17","paper":"/paper/open3dis-open-vocabulary-3d-instance","paper_url":"https://arxiv.org/abs/2312.10671v3","paper_title":"Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance","code":"https://github.com/VinAIResearch/Open3DIS","n_code_links":1,"syntology":{"n_ran":8,"n_unverified":0,"n_samples":8,"n_pointer_only_licence":0}}],"since_archive":{"present":false,"note":"No Syntology-extracted rows are published in this build."},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per row: N of M harvested code samples from that row's paper executed on a synthesized fixture; the other M-N are unverified. Not a reproduction of the row's number; not a correctness claim. n_pointer_only_licence counts samples the site points at rather than redistributes (a licence axis, independent of ran/unverified).","rows_with_graph_line":4,"rows_with_any_sample_ran":4,"distinct_papers_with_graph_line":4,"distinct_papers_with_any_sample_ran":4,"samples_over_distinct_papers":{"n_ran":15,"n_unverified":30,"n_samples":45,"n_pointer_only_licence":0,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":15,"n_unverified":30,"n_samples":45,"n_pointer_only_licence":0,"note":"row-weighted: a paper behind several rows is counted once per row; inflated relative to samples_over_distinct_papers by design, kept for readers summing the per-row syntology blocks"}}}