{"url":"/task/keypoint-detection-and-image-matching","name":"Keypoint detection and image matching","slug":"keypoint-detection-and-image-matching","description_markdown":"keypoint detection in retinal images followed by image registration","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":"archive_url"},"counts":{"papers_tagged":6,"papers_with_code":6,"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":2,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/zeb","name":"ZEB","full_name":"Zero-shot Evaluation Benchmark","num_papers_in_archive":8},{"url":"/dataset/niantic-map-free-relocalization-dataset","name":"Niantic Map-free Relocalization Dataset","full_name":"","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[],"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":6,"of":6,"tagged_in_all":6,"items":[{"url":"/paper/aslfeat-learning-local-features-of-accurate","title":"ASLFeat: Learning Local Features of Accurate Shape and Localization","date":"2020-03-23","arxiv_id":"2003.10071","repositories_listed":4,"syntology":{"n":16,"n_ran":0,"n_unverified":16,"n_pointer_only":0}},{"url":"/paper/advanced-computer-vision-for-extracting","title":"Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery","date":"2024-11-04","arxiv_id":"2411.02136","repositories_listed":1,"syntology":null},{"url":"/paper/xfeat-accelerated-features-for-lightweight","title":"XFeat: Accelerated Features for Lightweight Image Matching","date":"2024-04-30","arxiv_id":"2404.19174","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/gim-learning-generalizable-image-matcher-from","title":"GIM: Learning Generalizable Image Matcher From Internet Videos","date":"2024-02-16","arxiv_id":"2402.11095","repositories_listed":1,"syntology":{"n":17,"n_ran":12,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/reverse-knowledge-distillation-training-a","title":"Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data","date":"2023-07-20","arxiv_id":"2307.10698","repositories_listed":1,"syntology":null},{"url":"/paper/s2ld-sparse-to-local-dense-matching-for","title":"S2LD: Sparse-to-Local-Dense Matching for Geometry-Guided Correspondence Estimation","date":"2023-06-22","arxiv_id":null,"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"}}