{"url":"/task/bev-segmentation","name":"BEV Segmentation","slug":"bev-segmentation","description_markdown":null,"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":44,"papers_with_code":19,"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":0},"benchmarks":[{"leaderboard":"/sota/bev-segmentation-on-simbev","slug":"bev-segmentation-on-simbev","dataset":"SimBEV","dataset_url":"/dataset/simbev","rows_in_archive":5,"metrics":["mIoU","road","car","truck","bus","motorcycle","bicycle","rider","pedestrian"],"first_row_in_archive_order":{"model":"BEVFusion","paper_title":"SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset","paper_url":"/paper/simbev-a-synthetic-multi-task-multi-sensor","paper_date":"2025-02-04","arxiv_id":"2502.01894","code_links":[{"title":"goodarzmehr/simbev","url":"https://github.com/goodarzmehr/simbev"}],"syntology":null}}],"datasets":[{"url":"/dataset/simbev","name":"SimBEV","full_name":"","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[],"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":19,"of":19,"tagged_in_all":44,"items":[{"url":"/paper/dur360bev-a-real-world-single-360-degree","title":"Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving","date":"2025-03-02","arxiv_id":"2503.00675","repositories_listed":2,"syntology":{"n":6,"n_ran":0,"n_unverified":6,"n_pointer_only":0}},{"url":"/paper/cross-view-meets-diffusion-aerial-image","title":"Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance","date":"2024-08-08","arxiv_id":"2408.04224","repositories_listed":2,"syntology":null},{"url":"/paper/cobevt-cooperative-bird-s-eye-view-semantic","title":"CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers","date":"2022-07-05","arxiv_id":"2207.02202","repositories_listed":2,"syntology":{"n":3,"n_ran":0,"n_unverified":3,"n_pointer_only":0}},{"url":"/paper/dualdiff-dual-branch-diffusion-model-for","title":"DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion","date":"2025-05-03","arxiv_id":"2505.01857","repositories_listed":1,"syntology":null},{"url":"/paper/dualdiff-dual-branch-diffusion-for-high","title":"DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance","date":"2025-03-05","arxiv_id":"2503.03689","repositories_listed":1,"syntology":null},{"url":"/paper/seglocnet-multimodal-localization-network-for","title":"SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View Segmentation","date":"2025-02-27","arxiv_id":"2502.20077","repositories_listed":1,"syntology":null},{"url":"/paper/simbev-a-synthetic-multi-task-multi-sensor","title":"SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset","date":"2025-02-04","arxiv_id":"2502.01894","repositories_listed":1,"syntology":null},{"url":"/paper/crt-fusion-camera-radar-temporal-fusion-using","title":"CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection","date":"2024-11-05","arxiv_id":"2411.03013","repositories_listed":1,"syntology":null},{"url":"/paper/beval-a-cross-dataset-evaluation-study-of-bev","title":"BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving","date":"2024-08-29","arxiv_id":"2408.16322","repositories_listed":1,"syntology":null},{"url":"/paper/mask2map-vectorized-hd-map-construction-using","title":"Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks","date":"2024-07-18","arxiv_id":"2407.13517","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/occfeat-self-supervised-occupancy-feature","title":"OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks","date":"2024-04-22","arxiv_id":"2404.14027","repositories_listed":1,"syntology":null},{"url":"/paper/improving-bird-s-eye-view-semantic","title":"Improving Bird's Eye View Semantic Segmentation by Task Decomposition","date":"2024-04-02","arxiv_id":"2404.01925","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/seabird-segmentation-in-bird-s-view-with-dice","title":"SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects","date":"2024-03-29","arxiv_id":"2403.20318","repositories_listed":1,"syntology":null},{"url":"/paper/mim4d-masked-modeling-with-multi-view-video","title":"MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning","date":"2024-03-13","arxiv_id":"2403.08760","repositories_listed":1,"syntology":null},{"url":"/paper/pointbev-a-sparse-approach-for-bev","title":"PointBeV: A Sparse Approach for BeV Predictions","date":"2024-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/pointbev-a-sparse-approach-to-bev-predictions","title":"PointBeV: A Sparse Approach to BeV Predictions","date":"2023-12-01","arxiv_id":"2312.00703","repositories_listed":1,"syntology":null},{"url":"/paper/magicdrive-street-view-generation-with","title":"MagicDrive: Street View Generation with Diverse 3D Geometry Control","date":"2023-10-04","arxiv_id":"2310.02601","repositories_listed":1,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/learning-ego-3d-representation-as-ray-tracing","title":"Learning Ego 3D Representation as Ray Tracing","date":"2022-06-08","arxiv_id":"2206.04042","repositories_listed":1,"syntology":null},{"url":"/paper/petrv2-a-unified-framework-for-3d-perception","title":"PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images","date":"2022-06-02","arxiv_id":"2206.01256","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}}],"syntology_records":6,"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"}}