Spatiotemporal Fusion in 3D CNNs: A Probabilistic View

@article{Zhou2020SpatiotemporalFI,
  title={Spatiotemporal Fusion in 3D CNNs: A Probabilistic View},
  author={Yizhou Zhou and Xiaoyan Sun and Chong Luo and Zhengjun Zha and Wenjun Zeng},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={9826-9835}
}
Despite the success in still image recognition, deep neural networks for spatiotemporal signal tasks (such as human action recognition in videos) still suffers from low efficacy and inefficiency over the past years. Recently, human experts have put more efforts into analyzing the importance of different components in 3D convolutional neural networks (3D CNNs) to design more powerful spatiotemporal learning backbones. Among many others, spatiotemporal fusion is one of the essentials. It controls… 

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