{"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/object-detectors-emerge-in-deep-scene-cnns","title":"Object Detectors Emerge in Deep Scene CNNs","arxiv_id":"1412.6856","date":"2014-12-22","proceeding":null,"authors":["Bolei Zhou","Aditya Khosla","Agata Lapedriza","Aude Oliva","Antonio Torralba"],"abstract":"With the success of new computational architectures for visual processing,\nsuch as convolutional neural networks (CNN) and access to image databases with\nmillions of labeled examples (e.g., ImageNet, Places), the state of the art in\ncomputer vision is advancing rapidly. One important factor for continued\nprogress is to understand the representations that are learned by the inner\nlayers of these deep architectures. Here we show that object detectors emerge\nfrom training CNNs to perform scene classification. As scenes are composed of\nobjects, the CNN for scene classification automatically discovers meaningful\nobjects detectors, representative of the learned scene categories. With object\ndetectors emerging as a result of learning to recognize scenes, our work\ndemonstrates that the same network can perform both scene recognition and\nobject localization in a single forward-pass, without ever having been\nexplicitly taught the notion of objects.","url_abs":"http://arxiv.org/abs/1412.6856v2","url_pdf":"http://arxiv.org/pdf/1412.6856v2.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":"object-detectors-emerge-in-deep-scene-cnns","repo_url":"https://github.com/JepsonWong/CNN_Visualization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-localization","task_name":"Object Localization"},{"task_slug":"scene-classification","task_name":"Scene Classification"},{"task_slug":"scene-recognition","task_name":"Scene Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1412.6856","atlas_url":"https://app.syntology.ai/?focus=1412.6856","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}