{"url":"/dataset/nico-1","name":"NICO++","full_name":null,"description_markdown":"The goal of NICO Challenge is to facilitate the OOD (Out-of-Distribution) generalization in visual recognition through promoting the research on the intrinsic learning mechanisms with native invariance and generalization ability. The training data is a mixture of several observed contexts while the test data is composed of unseen contexts. Participants are tasked with developing reliable algorithms across different contexts (domains) to improve the generalization ability of models.","description_withheld":null,"homepage":"https://nicochallenge.com","introduced_date":"2022-04-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/nico-towards-better-benchmarking-for-domain","title":"NICO++: Towards Better Benchmarking for Domain Generalization","first_author":"Xingxuan Zhang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Domain Generalization","url":"/task/domain-generalization","datasets_with_task":"/datasets/task/domain-generalization"},{"name":"Zero-Shot Composed Image Retrieval (ZS-CIR)","url":"/task/zero-shot-composed-image-retrieval-zs-cir","datasets_with_task":"/datasets/task/zero-shot-composed-image-retrieval-zs-cir"}],"languages":[],"variants":["NICO++"],"data_loaders":[],"num_papers_in_archive":32,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/zero-shot-composed-image-retrieval-zs-cir-on-8","task":"Zero-Shot Composed Image Retrieval (ZS-CIR)","dataset_variant":"NICO++","rows":6,"metrics":["mAP"],"first_row_in_archive_order":{"model":"FreeDom (CLIP-L/14)","paper":"/paper/composed-image-retrieval-for-training-free","metrics":{"mAP":"26.1"},"code_links":[{"title":"nikosefth/freedom","url":"https://github.com/nikosefth/freedom"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/composed-image-retrieval-for-training-free","title":"Composed Image Retrieval for Training-Free Domain Conversion","date":"2024-12-04","rows_on_this_dataset":6,"code_links":1,"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."}