{"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/action-sets-weakly-supervised-action","title":"Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints","arxiv_id":"1706.00699","date":"2017-06-02","proceeding":"CVPR 2018 6","authors":["Alexander Richard","Hilde Kuehne","Juergen Gall"],"abstract":"Action detection and temporal segmentation of actions in videos are topics of\nincreasing interest. While fully supervised systems have gained much attention\nlately, full annotation of each action within the video is costly and\nimpractical for large amounts of video data. Thus, weakly supervised action\ndetection and temporal segmentation methods are of great importance. While most\nworks in this area assume an ordered sequence of occurring actions to be given,\nour approach only uses a set of actions. Such action sets provide much less\nsupervision since neither action ordering nor the number of action occurrences\nare known. In exchange, they can be easily obtained, for instance, from\nmeta-tags, while ordered sequences still require human annotation. We introduce\na system that automatically learns to temporally segment and label actions in a\nvideo, where the only supervision that is used are action sets. An evaluation\non three datasets shows that our method still achieves good results although\nthe amount of supervision is significantly smaller than for other related\nmethods.","url_abs":"http://arxiv.org/abs/1706.00699v2","url_pdf":"http://arxiv.org/pdf/1706.00699v2.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":"action-sets-weakly-supervised-action","repo_url":"https://github.com/alexanderrichard/action-sets","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"action-detection","task_name":"Action Detection"},{"task_slug":"action-segmentation","task_name":"Action Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}