Attention in Convolutional LSTM for Gesture Recognition

NeurIPS 2018 Liang ZhangGuangming ZhuLin MeiPeiyi ShenSyed Afaq Ali ShahMohammed Bennamoun

Convolutional long short-term memory (LSTM) networks have been widely used for action/gesture recognition, and different attention mechanisms have also been embedded into the LSTM or the convolutional LSTM (ConvLSTM) networks. Based on the previous gesture recognition architectures which combine the three-dimensional convolution neural network (3DCNN) and ConvLSTM, this paper explores the effects of attention mechanism in ConvLSTM... (read more)

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