{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T03:09:02Z","timestamp":1773284942159,"version":"3.50.1"},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI"],"abstract":"<jats:p>The object of Weakly-supervised Temporal Action Localization (WS-TAL) is to localize all action instances in an untrimmed video with only video-level supervision. Due to the lack of frame-level annotations during training, current WS-TAL methods rely on attention mechanisms to localize the foreground snippets or frames that contribute to the video-level classification task. This strategy frequently confuse context with the actual action, in the localization result. Separating action and context is a core problem for precise WS-TAL, but it is very challenging and has been largely ignored in the literature. In this paper, we introduce an Action-Context Separation Network (ACSNet) that explicitly takes into account context for accurate action localization. It consists of two branches (i.e., the Foreground-Background branch and the Action-Context branch). The Foreground-Background branch first distinguishes foreground from background within the entire video while the Action-Context branch further separates the foreground as action and context. We associate video snippets with two latent components (i.e., a positive component and a negative component), and their different combinations can effectively characterize foreground, action and context. Furthermore, we introduce extended labels with auxiliary context categories to facilitate the learning of action-context separation. Experiments on THUMOS14 and ActivityNet v1.2\/v1.3 datasets demonstrate the ACSNet outperforms existing state-of-the-art WS-TAL methods by a large margin.<\/jats:p>","DOI":"10.1609\/aaai.v35i3.16322","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T18:08:09Z","timestamp":1662660489000},"page":"2233-2241","source":"Crossref","is-referenced-by-count":72,"title":["ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization"],"prefix":"10.1609","volume":"35","author":[{"given":"Ziyi","family":"Liu","sequence":"first","affiliation":[]},{"given":"Le","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Qilin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Junsong","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Nanning","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Hua","sequence":"additional","affiliation":[]}],"member":"9382","published-online":{"date-parts":[[2021,5,18]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/16322\/16129","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/16322\/16129","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T18:08:12Z","timestamp":1662660492000},"score":1,"resource":{"primary":{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/16322"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,18]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,5,28]]}},"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/doi.org\/10.1609\/aaai.v35i3.16322","relation":{},"ISSN":["2374-3468","2159-5399"],"issn-type":[{"value":"2374-3468","type":"electronic"},{"value":"2159-5399","type":"print"}],"subject":[],"published":{"date-parts":[[2021,5,18]]}}}