{"url":"/dataset/kitti360pose","name":"KITTI360pose","full_name":null,"description_markdown":"The KITTI360Pose dataset encompasses a total area of 15.51 square kilometers across nine urban regions, consisting of 43,381 point cloud- text pairs.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Visual Place Recognition","url":"/task/visual-place-recognition","datasets_with_task":"/datasets/task/visual-place-recognition"}],"languages":[],"variants":["KITTI360pose"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/visual-place-recognition-on-kitti360pose","task":"Visual Place Recognition","dataset_variant":"KITTI360pose","rows":5,"metrics":["Localization Recall@1 "],"first_row_in_archive_order":{"model":"MambaPlace","paper":"/paper/mambaplace-text-to-point-cloud-cross-modal","metrics":{"Localization Recall@1 ":"0.45"},"code_links":[{"title":"CV4RA/MambaPlace","url":"https://github.com/CV4RA/MambaPlace"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mambaplace-text-to-point-cloud-cross-modal","title":"MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms","date":"2024-08-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/instance-free-text-to-point-cloud","title":"Instance-free Text to Point Cloud Localization with Relative Position Awareness","date":"2024-04-27","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/text2loc-3d-point-cloud-localization-from","title":"Text2Loc: 3D Point Cloud Localization from Natural Language","date":"2023-11-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/text2pos-text-to-point-cloud-cross-modal","title":"Text2Pos: Text-to-Point-Cloud Cross-Modal Localization","date":"2022-03-28","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":16,"samples_ran":9,"samples_unverified":7,"pointer_only_for_licence":16,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/pointnetvlad-deep-point-cloud-based-retrieval","title":"PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition","date":"2018-04-10","rows_on_this_dataset":1,"code_links":6,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":16,"samples_ran":9,"samples_unverified":7,"pointer_only_for_licence":16,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}