{"url":"/dataset/kitti-masks","name":"KITTI-Masks","full_name":null,"description_markdown":"This Dataset consists of 2120 sequences of binary masks of pedestrians. The sequence length varies between 2-710. For details, we refer to our paper. It is based on the original KITTI Segmentation challenge which can be found at https://www.vision.rwth-aachen.de/page/mots \r\n\r\nA detailed description can be found at: https://openreview.net/pdf?id=EbIDjBynYJ8\r\n\r\nAn example dataloader can be found at: \r\nhttps://github.com/bethgelab/slow_disentanglement/","description_withheld":null,"homepage":"https://zenodo.org/record/3931823#.YgWkGfXMKbg","introduced_date":"2020-07-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-nonlinear-disentanglement-in-natural","title":"Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding","first_author":"David Klindt","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Disentanglement","url":"/task/disentanglement","datasets_with_task":"/datasets/task/disentanglement"}],"languages":[],"variants":["KITTI-Masks"],"data_loaders":[{"repo":"https://github.com/bethgelab/slow_disentanglement","url":"https://github.com/bethgelab/slow_disentanglement","frameworks":["pytorch"]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/disentanglement-on-kitti-masks","task":"Disentanglement","dataset_variant":"KITTI-Masks","rows":2,"metrics":["MCC"],"first_row_in_archive_order":{"model":"InfoNCE (Laplace, Box)","paper":"/paper/contrastive-learning-inverts-the-data","metrics":{"MCC":"80.9"},"code_links":[{"title":"brendel-group/cl-ica","url":"https://github.com/brendel-group/cl-ica"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/contrastive-learning-inverts-the-data","title":"Contrastive Learning Inverts the Data Generating Process","date":"2021-02-17","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/towards-nonlinear-disentanglement-in-natural","title":"Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding","date":"2020-07-21","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":1,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":6,"samples_ran":2,"samples_unverified":4,"pointer_only_for_licence":0,"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."}