Dynamic Group Convolution for Accelerating Convolutional Neural Networks

Author:

Su Zhuo,Fang Linpu,Kang Wenxiong,Hu Dewen,Pietikäinen Matti,Liu Li

Publisher

Springer International Publishing

Reference58 articles.

1. Banner, R., Nahshan, Y., Soudry, D.: Post training 4-bit quantization of convolutional networks for rapid-deployment. In: Advances in Neural Information Processing Systems, pp. 7948–7956 (2019)

2. Bolukbasi, T., Wang, J., Dekel, O., Saligrama, V.: Adaptive neural networks for efficient inference. In: Proceedings of the 34th International Conference on Machine Learning, vol. 70, pp. 527–536. JMLR.org (2017)

3. Cao, S., et al.: SeerNet: predicting convolutional neural network feature-map sparsity through low-bit quantization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 11216–11225 (2019)

4. Chollet, F.: Xception: deep learning with depthwise separable convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1251–1258 (2017)

5. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248–255. IEEE (2009)

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