{"url":"/method/aslfeat","slug":"aslfeat","name":"ASLFeat","full_name":"ASLFeat","full_name_withheld":false,"description_markdown":"**ASLFeat** is a convolutional neural network for learning local features that uses deformable convolutional networks to densely estimate and apply local transformation. It also takes advantage of the inherent feature hierarchy to restore spatial resolution and low-level details for accurate keypoint localization. Finally, it uses a peakiness measurement to relate feature responses and derive more indicative detection scores.","description_state":"present","introduced_year":null,"introduced_by":{"title":"ASLFeat: Learning Local Features of Accurate Shape and Localization","paper":"/paper/aslfeat-learning-local-features-of-accurate","first_author":"Zixin Luo","n_authors":9,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/aslfeat-learning-local-features-of-accurate"},"source":{"url":"https://arxiv.org/abs/2003.10071v2","title":"ASLFeat: Learning Local Features of Accurate Shape and Localization","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Convolutional Neural Networks","url":"/methods/category/convolutional-neural-networks","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/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","n_code_links":4,"syntology":{"ran":0,"of":16,"unverified":16,"pointer_only":0}}],"papers_shown":1,"tasks":[{"task":"/task/3d-reconstruction","name":"3D Reconstruction","papers":1},{"task":"/task/keypoint-detection-and-image-matching","name":"Keypoint detection and image matching","papers":1}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"year":"2020","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/aslfeat"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}