{"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/visualizing-object-detection-features","title":"Visualizing Object Detection Features","arxiv_id":"1502.05461","date":"2015-02-19","proceeding":null,"authors":["Carl Vondrick","Aditya Khosla","Hamed Pirsiavash","Tomasz Malisiewicz","Antonio Torralba"],"abstract":"We introduce algorithms to visualize feature spaces used by object detectors.\nOur method works by inverting a visual feature back to multiple natural images.\nWe found that these visualizations allow us to analyze object detection systems\nin new ways and gain new insight into the detector's failures. For example,\nwhen we visualize the features for high scoring false alarms, we discovered\nthat, although they are clearly wrong in image space, they do look deceptively\nsimilar to true positives in feature space. This result suggests that many of\nthese false alarms are caused by our choice of feature space, and supports that\ncreating a better learning algorithm or building bigger datasets is unlikely to\ncorrect these errors. By visualizing feature spaces, we can gain a more\nintuitive understanding of recognition systems.","url_abs":"http://arxiv.org/abs/1502.05461v1","url_pdf":"http://arxiv.org/pdf/1502.05461v1.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":"visualizing-object-detection-features","repo_url":"https://github.com/ShilpaJagadeeshappa/SikuliX","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}