Adding Attentiveness to the Neurons in Recurrent Neural Networks

ECCV 2018 Pengfei ZhangJianru XueCuiling LanWenjun ZengZhanning GaoNanning Zheng

Recurrent neural networks (RNNs) are capable of modeling the temporal dynamics of complex sequential information. However, the structures of existing RNN neurons mainly focus on controlling the contributions of current and historical information but do not explore the different importance levels of different elements in an input vector of a time slot... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Skeleton Based Action Recognition NTU RGB+D EleAtt-GRU Accuracy (CV) 87.1 # 42
Accuracy (CS) 79.8 # 45

Methods used in the Paper


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