{"url":"/method/feature-intertwiner","slug":"feature-intertwiner","name":"Feature Intertwiner","full_name":"Feature Intertwiner","full_name_withheld":false,"description_markdown":"**Feature Intertwiner** is an object detection module that leverages the features from a more reliable set to help guide the feature learning of another less reliable set. The mutual learning process helps two sets to have closer distance within the cluster in each class. The intertwiner is applied on the object detection task, where a historical buffer is proposed to address the sample missing problem during one mini-batch and the optimal transport (OT) theory is introduced to enforce the similarity among the two sets.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Feature Intertwiner for Object Detection","paper":"/paper/feature-intertwiner-for-object-detection-1","first_author":"Hongyang Li","n_authors":5,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/feature-intertwiner-for-object-detection-1"},"source":{"url":"http://arxiv.org/abs/1903.11851v1","title":"Feature Intertwiner for Object Detection","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/hli2020/feature_intertwiner/blob/45f049c56dde1b5b2b3f585d9da55c8c05009e96/lib/sub_module.py#L286","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Feature Extractors","url":"/methods/category/feature-extractors","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/feature-intertwiner-for-object-detection-1","title":"Feature Intertwiner for Object Detection","date":"2019-03-28","arxiv_id":"1903.11851","n_code_links":2,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/object","name":"Object","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/object-detection-1","name":"object-detection","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2019","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/feature-intertwiner"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}