Correlation Net: Spatiotemporal multimodal deep learning for action recognition

@article{Yudistira2020CorrelationNS,
  title={Correlation Net: Spatiotemporal multimodal deep learning for action recognition},
  author={Novanto Yudistira and Takio Kurita},
  journal={Signal Process. Image Commun.},
  year={2020},
  volume={82},
  pages={115731}
}
Abstract This paper describes a network that captures multimodal correlations over arbitrary timestamps. The proposed scheme operates as a complementary, extended network over a multimodal convolutional neural network (CNN). Spatial and temporal streams are required for action recognition by a deep CNN, but overfitting reduction and fusing these two streams remain open problems. The existing fusion approach averages the two streams. Here we propose a correlation network with a Shannon fusion… 
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