2017
RPAN: An End-To-End Recurrent Pose-Attention Network for Action Recognition in Videos
ICCV 2017oral
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…