PURF: Improving teacher representations by imposing smoothness constraints for knowledge distillation
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Published:2024-07
Issue:
Volume:159
Page:111579
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ISSN:1568-4946
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Container-title:Applied Soft Computing
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language:en
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Short-container-title:Applied Soft Computing
Author:
Hossain Md ImtiazORCID, Akhter SharmenORCID, Hong Choong SeonORCID, Huh Eui-NamORCID
Reference135 articles.
1. K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 770–778. 2. C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, Going deeper with convolutions, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 1–9. 3. G. Huang, Z. Liu, L. Van Der Maaten, K.Q. Weinberger, Densely connected convolutional networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 4700–4708. 4. Imagenet classification with deep convolutional neural networks;Krizhevsky;Adv. Neural Inf. Process. Syst.,2012 5. J. Long, E. Shelhamer, T. Darrell, Fully convolutional networks for semantic segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3431–3440.
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