{"url":"/dataset/pf-willow","name":"PF-WILLOW","full_name":null,"description_markdown":"","description_withheld":null,"homepage":"https://www.di.ens.fr/willow/research/proposalflow/","introduced_date":"2017-03-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/proposal-flow-semantic-correspondences-from","title":"Proposal Flow: Semantic Correspondences from Object Proposals","first_author":"Bumsub Ham","url":null},"license":null,"modalities":[],"tasks":[{"name":"Semantic correspondence","url":"/task/semantic-correspondence","datasets_with_task":"/datasets/task/semantic-correspondence"}],"languages":[],"variants":["PF-WILLOW"],"data_loaders":[],"num_papers_in_archive":37,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-correspondence-on-pf-willow","task":"Semantic correspondence","dataset_variant":"PF-WILLOW","rows":8,"metrics":["PCK","PCK (weak)"],"first_row_in_archive_order":{"model":"LDMCorrespondences","paper":"/paper/unsupervised-semantic-correspondence-using","metrics":{"PCK":"84.3"},"code_links":[{"title":"ubc-vision/LDM_correspondences","url":"https://github.com/ubc-vision/LDM_correspondences"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/unsupervised-semantic-correspondence-using","title":"Unsupervised Semantic Correspondence Using Stable Diffusion","date":"2023-05-24","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":4,"samples_unverified":8,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/cost-aggregation-with-4d-convolutional-swin","title":"Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation","date":"2022-07-22","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":20,"samples_ran":11,"samples_unverified":9,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/cost-aggregation-is-all-you-need-for-few-shot","title":"Cost Aggregation Is All You Need for Few-Shot Segmentation","date":"2021-12-22","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/semantic-correspondence-with-transformers","title":"CATs: Cost Aggregation Transformers for Visual Correspondence","date":"2021-06-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/convolutional-hough-matching-networks","title":"Convolutional Hough Matching Networks","date":"2021-03-31","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-to-compose-hypercolumns-for-visual","title":"Learning to Compose Hypercolumns for Visual Correspondence","date":"2020-07-21","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/semantic-correspondence-as-an-optimal","title":"Semantic Correspondence as an Optimal Transport Problem","date":"2020-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hyperpixel-flow-semantic-correspondence-with","title":"Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features","date":"2019-08-18","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":0,"samples_unverified":14,"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":4,"samples_harvested":51,"samples_ran":15,"samples_unverified":36,"pointer_only_for_licence":2,"papers_with_no_sample_that_ran":2,"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."}