A Comprehensive Study on Temporal Modeling for Online Action Detection

21 Jan 2020Wen WangXiaojiang PengYu QiaoJian Cheng

Online action detection (OAD) is a practical yet challenging task, which has attracted increasing attention in recent years. A typical OAD system mainly consists of three modules: a frame-level feature extractor which is usually based on pre-trained deep Convolutional Neural Networks (CNNs), a temporal modeling module, and an action classifier... (read more)

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