RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos
Recent studies demonstrate the effectiveness of Recurrent Neural Networks (RNNs) for action recognition in videos. However, previous works mainly utilize video-level category as supervision to train RNNs, which may prohibit RNNs to learn complex motion structures along time. In this paper, we propos...
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Published in | Proceedings / IEEE International Conference on Computer Vision pp. 3745 - 3754 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2017
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Subjects | |
Online Access | Get full text |
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