{"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/spot-the-difference-by-object-detection","title":"Spot the Difference by Object Detection","arxiv_id":"1801.01051","date":"2018-01-03","proceeding":null,"authors":["Junhui Wu","Yun Ye","Yu Chen","Zhi Weng"],"abstract":"In this paper, we propose a simple yet effective solution to a change\ndetection task that detects the difference between two images, which we call\n\"spot the difference\". Our approach uses CNN-based object detection by stacking\ntwo aligned images as input and considering the differences between the two\nimages as objects to detect. An early-merging architecture is used as the\nbackbone network. Our method is accurate, fast and robust while using very\ncheap annotation. We verify the proposed method on the task of change detection\nbetween the digital design and its photographic image of a book. Compared to\nverification based methods, our object detection based method outperforms other\nmethods by a large margin and gives extra information of location. We compress\nthe network and achieve 24 times acceleration while keeping the accuracy.\nBesides, as we synthesize the training data for detection using weakly labeled\nimages, our method does not need expensive bounding box annotation.","url_abs":"http://arxiv.org/abs/1801.01051v1","url_pdf":"http://arxiv.org/pdf/1801.01051v1.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":"spot-the-difference-by-object-detection","repo_url":"https://github.com/SeniorDesignF20/AmazonUnderstandingProductImages","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"change-detection","task_name":"Change Detection"},{"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}