{"url":"/method/rpdet","slug":"rpdet","name":"RPDet","full_name":"RPDet","full_name_withheld":false,"description_markdown":"**RPDet**, or **RepPoints Detector**, is a anchor-free, two-stage object detection model based on deformable convolutions.  [RepPoints](https://paperswithcode.com/method/reppoints) serve as the basic object representation throughout the detection system. Starting from the center points, the first set of RepPoints is obtained via regressing offsets over the center points. The learning of these RepPoints is driven by two objectives: 1) the top-left and bottom-right points distance loss between the induced pseudo box and the ground-truth bounding box; 2) the object recognition loss of the subsequent stage.","description_state":"present","introduced_year":null,"introduced_by":{"title":"RepPoints: Point Set Representation for Object Detection","paper":"/paper/reppoints-point-set-representation-for-object","first_author":"Ze Yang","n_authors":5,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/reppoints-point-set-representation-for-object"},"source":{"url":"https://arxiv.org/abs/1904.11490v2","title":"RepPoints: Point Set Representation for Object Detection","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/microsoft/RepPoints","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Object Detection Models","url":"/methods/category/object-detection-models","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":null,"title":"Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery","date":"2022-01-18","arxiv_id":"2201.07124","n_code_links":0,"syntology":null},{"paper":"/paper/reppoints-point-set-representation-for-object","title":"RepPoints: Point Set Representation for Object Detection","date":"2019-04-25","arxiv_id":"1904.11490","n_code_links":6,"syntology":{"ran":1,"of":3,"unverified":2,"pointer_only":3}}],"papers_shown":2,"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},{"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/rpdet"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}