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STAT: Towards Generalizable Temporal Action Localization
April 23, 2024, 4:46 a.m. | Yangcen Liu, Ziyi Liu, Yuanhao Zhai, Wen Li, David Doerman, Junsong Yuan
cs.CV updates on arXiv.org arxiv.org
Abstract: Weakly-supervised temporal action localization (WTAL) aims to recognize and localize action instances with only video-level labels. Despite the significant progress, existing methods suffer from severe performance degradation when transferring to different distributions and thus may hardly adapt to real-world scenarios . To address this problem, we propose the Generalizable Temporal Action Localization task (GTAL), which focuses on improving the generalizability of action localization methods. We observed that the performance decline can be primarily attributed to …
abstract adapt arxiv cs.cv instances labels localization performance progress temporal type video weakly-supervised world
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