{"url":"/task/set-matching","name":"set matching","slug":"set-matching","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"derived"},"counts":{"papers_tagged":41,"papers_with_code":19,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":0,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[],"subtasks":[],"parent_tasks":[{"url":"/task/image-matching","name":"Image Matching"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":19,"of":19,"tagged_in_all":41,"items":[{"url":"/paper/detrs-with-hybrid-matching","title":"DETRs with Hybrid Matching","date":"2022-07-26","arxiv_id":"2207.13080","repositories_listed":8,"syntology":{"n":18,"n_ran":14,"n_unverified":4,"n_pointer_only":1}},{"url":"/paper/detrs-with-collaborative-hybrid-assignments","title":"DETRs with Collaborative Hybrid Assignments Training","date":"2022-11-22","arxiv_id":"2211.12860","repositories_listed":6,"syntology":{"n":5,"n_ran":0,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/an-exact-hypergraph-matching-algorithm-for","title":"An Exact Hypergraph Matching Algorithm for Nuclear Identification in Embryonic Caenorhabditis elegans","date":"2021-04-20","arxiv_id":"2104.10003","repositories_listed":4,"syntology":null},{"url":"/paper/esm-modern-insights-into-perspective-on-text","title":"ESM+: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models","date":"2024-07-10","arxiv_id":"2407.07313","repositories_listed":2,"syntology":null},{"url":"/paper/shift15m-multiobjective-large-scale-fashion","title":"SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts","date":"2021-08-30","arxiv_id":"2108.12992","repositories_listed":2,"syntology":null},{"url":"/paper/more-than-meets-the-eye-semi-supervised","title":"More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data","date":"2021-04-20","arxiv_id":"2104.10223","repositories_listed":2,"syntology":null},{"url":"/paper/deep-set-to-set-matching-and-learning","title":"Exchangeable deep neural networks for set-to-set matching and learning","date":"2019-10-22","arxiv_id":"1910.09972","repositories_listed":2,"syntology":null},{"url":"/paper/decoupling-semantic-similarity-from-spatial","title":"Decoupling Semantic Similarity from Spatial Alignment for Neural Networks","date":"2024-10-30","arxiv_id":"2410.23107","repositories_listed":1,"syntology":null},{"url":"/paper/scaling-manipulation-learning-with-visual","title":"Scaling Manipulation Learning with Visual Kinematic Chain Prediction","date":"2024-06-12","arxiv_id":"2406.07837","repositories_listed":1,"syntology":null},{"url":"/paper/sketch-based-video-object-localization","title":"Sketch-based Video Object Localization","date":"2023-04-02","arxiv_id":"2304.00450","repositories_listed":1,"syntology":null},{"url":"/paper/from-semi-supervised-to-omni-supervised-room","title":"From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds","date":"2023-01-31","arxiv_id":"2301.13865","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/hyrsm-hybrid-relation-guided-temporal-set","title":"HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition","date":"2023-01-09","arxiv_id":"2301.03330","repositories_listed":1,"syntology":null},{"url":"/paper/learning-object-language-alignments-for-open","title":"Learning Object-Language Alignments for Open-Vocabulary Object Detection","date":"2022-11-27","arxiv_id":"2211.14843","repositories_listed":1,"syntology":null},{"url":"/paper/ao2-detr-arbitrary-oriented-object-detection","title":"AO2-DETR: Arbitrary-Oriented Object Detection Transformer","date":"2022-05-25","arxiv_id":"2205.12785","repositories_listed":1,"syntology":null},{"url":"/paper/hybrid-relation-guided-set-matching-for-few","title":"Hybrid Relation Guided Set Matching for Few-shot Action Recognition","date":"2022-04-28","arxiv_id":"2204.13423","repositories_listed":1,"syntology":null},{"url":"/paper/the-cat-set-on-the-mat-cross-attention-for","title":"The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs","date":"2021-10-30","arxiv_id":"2111.00243","repositories_listed":1,"syntology":null},{"url":"/paper/freebaseqa-a-new-factoid-qa-data-set-matching","title":"FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase","date":"2019-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/convolutional-set-matching-for-graph","title":"Convolutional Set Matching for Graph Similarity","date":"2018-10-23","arxiv_id":"1810.10866","repositories_listed":1,"syntology":null},{"url":"/paper/convolutional-neural-networks-for-fast","title":"Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching","date":"2018-09-10","arxiv_id":"1809.04440","repositories_listed":1,"syntology":null}],"syntology_records":3,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}