{"url":"/dataset/yup","name":"YUP++","full_name":"YUP++ Dynamic Scenes dataset","description_markdown":"A new and challenging video database of dynamic scenes that more than doubles the size of those previously available. This dataset is explicitly split into two subsets of equal size that contain videos with and without camera motion to allow for systematic study of how this variable interacts with the defining dynamics of the scene per se. \r\n\r\nSource: [Temporal Residual Networks for Dynamic Scene Recognition](/paper/temporal-residual-networks-for-dynamic-scene)","description_withheld":null,"homepage":"http://vision.eecs.yorku.ca/research/dynamic-scenes/","introduced_date":"2017-07-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/temporal-residual-networks-for-dynamic-scene","title":"Temporal Residual Networks for Dynamic Scene Recognition","first_author":"Christoph Feichtenhofer","url":null},"license":null,"modalities":[],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Optical Flow Estimation","url":"/task/optical-flow-estimation","datasets_with_task":"/datasets/task/optical-flow-estimation"},{"name":"Scene Recognition","url":"/task/scene-recognition","datasets_with_task":"/datasets/task/scene-recognition"}],"languages":[],"variants":["YUP++"],"data_loaders":[],"num_papers_in_archive":13,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/scene-recognition-on-yup","task":"Scene Recognition","dataset_variant":"YUP++","rows":5,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"DEEP-HAL with ODF+SDF (I3D)","paper":"/paper/hallucinating-statistical-moment-and-subspace","metrics":{"Accuracy (%)":"94.4"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/high-order-tensor-pooling-with-attention-for","title":"High-order Tensor Pooling with Attention for Action Recognition","date":"2021-10-11","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/hallucinating-statistical-moment-and-subspace","title":"Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors","date":"2020-01-14","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/hallucinet-ing-spatiotemporal-representations","title":"HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN","date":"2019-12-10","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/hallucinating-bag-of-words-and-fisher-vector","title":"Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs","date":"2019-06-13","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"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."}