{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/annotating-object-instances-with-a-polygon","title":"Annotating Object Instances with a Polygon-RNN","arxiv_id":"1704.05548","date":"2017-04-18","proceeding":"CVPR 2017 7","authors":["Lluis Castrejon","Kaustav Kundu","Raquel Urtasun","Sanja Fidler"],"abstract":"We propose an approach for semi-automatic annotation of object instances.\nWhile most current methods treat object segmentation as a pixel-labeling\nproblem, we here cast it as a polygon prediction task, mimicking how most\ncurrent datasets have been annotated. In particular, our approach takes as\ninput an image crop and sequentially produces vertices of the polygon outlining\nthe object. This allows a human annotator to interfere at any time and correct\na vertex if needed, producing as accurate segmentation as desired by the\nannotator. We show that our approach speeds up the annotation process by a\nfactor of 4.7 across all classes in Cityscapes, while achieving 78.4% agreement\nin IoU with original ground-truth, matching the typical agreement between human\nannotators. For cars, our speed-up factor is 7.3 for an agreement of 82.2%. We\nfurther show generalization capabilities of our approach to unseen datasets.","url_abs":"http://arxiv.org/abs/1704.05548v1","url_pdf":"http://arxiv.org/pdf/1704.05548v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"annotating-object-instances-with-a-polygon","repo_url":"https://github.com/fidler-lab/polyrnn-pp-pytorch","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"annotating-object-instances-with-a-polygon","repo_url":"https://github.com/AidanRocke/vertex_prediction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1704.05548","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}