{"url":"/method/attention-feature-filters","slug":"attention-feature-filters","name":"Attention Feature Filters","full_name":"Attention Feature Filters","full_name_withheld":false,"description_markdown":"An attention mechanism for content-based filtering of multi-level features. For example, recurrent features obtained by forward and backward passes of a bidirectional RNN block can be combined using attention feature filters, with unprocessed input features/embeddings as queries and recurrent features as keys/values.","description_state":"present","introduced_year":null,"introduced_by":{"title":"NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras","paper":"/paper/neuricam-video-super-resolution-and","first_author":"Bandhav Veluri","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/neuricam-video-super-resolution-and"},"source":{"url":"https://arxiv.org/abs/2207.12496v2","title":"NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Attention Mechanisms","url":"/methods/category/attention-mechanisms","pwc_aliases":["attention-mechanisms-1"]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/neuricam-video-super-resolution-and","title":"NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras","date":"2022-07-25","arxiv_id":"2207.12496","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/colorization","name":"Colorization","papers":1},{"task":"/task/key-frame-based-video-super-resolution-k-15","name":"Key-Frame-based Video Super-Resolution (K = 15)","papers":1},{"task":"/task/super-resolution","name":"Super-Resolution","papers":1},{"task":"/task/video-super-resolution","name":"Video Super-Resolution","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2022","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/attention-feature-filters"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}