{"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/capsule-forensics-using-capsule-networks-to","title":"Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos","arxiv_id":"1810.11215","date":"2018-10-26","proceeding":null,"authors":["Huy H. Nguyen","Junichi Yamagishi","Isao Echizen"],"abstract":"Recent advances in media generation techniques have made it easier for\nattackers to create forged images and videos. State-of-the-art methods enable\nthe real-time creation of a forged version of a single video obtained from a\nsocial network. Although numerous methods have been developed for detecting\nforged images and videos, they are generally targeted at certain domains and\nquickly become obsolete as new kinds of attacks appear. The method introduced\nin this paper uses a capsule network to detect various kinds of spoofs, from\nreplay attacks using printed images or recorded videos to computer-generated\nvideos using deep convolutional neural networks. It extends the application of\ncapsule networks beyond their original intention to the solving of inverse\ngraphics problems.","url_abs":"http://arxiv.org/abs/1810.11215v1","url_pdf":"http://arxiv.org/pdf/1810.11215v1.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":"capsule-forensics-using-capsule-networks-to","repo_url":"https://github.com/nii-yamagishilab/Capsule-Forensics-v2","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"paper_slug":"capsule-forensics-using-capsule-networks-to","repo_url":"https://github.com/nii-yamagishilab/Capsule-Forensics","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"paper_slug":"capsule-forensics-using-capsule-networks-to","repo_url":"https://github.com/tamlhp/dfd_benchmark","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"image-and-video-forgery-detection","task_name":"Image and Video Forgery Detection"}],"methods":[{"method_slug":"fixcaps","method_name":"Capsule Network"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.11215","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}