Early action recognition with category exclusion using policy-based reinforcement learning
The goal of early action recognition is to predict action label when the sequence is partially observed. The existing methods treat the early action recognition task as sequential classification problems on different observation ratios of an action sequence. Since these models are trained by differe...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/141973 |
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機構: | Nanyang Technological University |
語言: | English |