{"url":"/dataset/cpnet","name":"CPNet","full_name":"CorresPondenceNet","description_markdown":"CPNet dataset has a collection of 25 categories, 2,334 models based on ShapeNetCore, which includes 1,000+ correspondence sets with 104,861 points.","description_withheld":null,"homepage":"https://github.com/yokinglou/CorresPondenceNet","introduced_date":"2019-12-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/fine-grained-object-semantic-understanding","title":"Human Correspondence Consensus for 3D Object Semantic Understanding","first_author":"Yujing Lou","url":null},"license":{"name":"MIT","url":"https://github.com/yokinglou/CorresPondenceNet/blob/master/LICENSE"},"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"3D Feature Matching","url":"/task/3d-feature-matching","datasets_with_task":"/datasets/task/3d-feature-matching"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CPNet"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}