Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition

Author:

Cheng Ke,Zhang Yifan,Cao Congqi,Shi Lei,Cheng Jian,Lu Hanqing

Publisher

Springer International Publishing

Reference50 articles.

1. Caetano, C., Sena, J., Brémond, F., Santos, J.A.d., Schwartz, W.R.: Skelemotion: a new representation of skeleton joint sequences based on motion information for 3D action recognition. arXiv preprint arXiv:1907.13025 (2019)

2. DeVries, T., Taylor, G.W.: Improved regularization of convolutional neural networks with cutout. arXiv preprint arXiv:1708.04552 (2017)

3. Du, Y., Wang, W., Wang, L.: Hierarchical recurrent neural network for skeleton based action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1110–1118 (2015)

4. Fernando, B., Gavves, E., Oramas, J.M., Ghodrati, A., Tuytelaars, T.: Modeling video evolution for action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5378–5387 (2015)

5. Ghiasi, G., Lin, T.Y., Le, Q.V.: Dropblock: a regularization method for convolutional networks. In: Advances in Neural Information Processing Systems, pp. 10727–10737 (2018)

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