{"url":"/method/retinamask","slug":"retinamask","name":"RetinaMask","full_name":"RetinaMask","full_name_withheld":false,"description_markdown":"**RetinaMask** is a one-stage object detection method that improves upon [RetinaNet](https://paperswithcode.com/method/retinanet) by adding the task of instance mask prediction during training, as well as an [adaptive loss](https://paperswithcode.com/method/adaptive-loss) that improves robustness to parameter choice during training, and including more difficult examples in training.","description_state":"present","introduced_year":null,"introduced_by":{"title":"RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free","paper":"/paper/retinamask-learning-to-predict-masks-improves","first_author":"Cheng-Yang Fu","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/retinamask-learning-to-predict-masks-improves"},"source":{"url":"http://arxiv.org/abs/1901.03353v1","title":"RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/chengyangfu/retinamask","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"One-Stage Object Detection Models","url":"/methods/category/one-stage-object-detection-models","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"Object Detection Models","url":"/methods/category/object-detection-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/retinamask-learning-to-predict-masks-improves","title":"RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free","date":"2019-01-10","arxiv_id":"1901.03353","n_code_links":53,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/object-detection","name":"Object Detection","papers":1}],"tasks_shown":1,"n_tasks":1,"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/retinamask"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}