Knowledge Distillation Meets Self-supervision

Author:

Xu GuodongORCID,Liu ZiweiORCID,Li XiaoxiaoORCID,Loy Chen ChangeORCID

Publisher

Springer International Publishing

Reference49 articles.

1. Ahn, S., Hu, S.X., Damianou, A., Lawrence, N.D., Dai, Z.: Variational information distillation for knowledge transfer. In: IEEE Conference on Computer Vision and Pattern Recognition (2019)

2. Caron, M., Bojanowski, P., Joulin, A., Douze, M.: Deep clustering for unsupervised learning of visual features. In: The European Conference on Computer Vision (2018)

3. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. arXiv preprint arXiv:2002.05709 (2020)

4. Coates, A., Ng, A., Lee, H.: An analysis of single-layer networks in unsupervised feature learning. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, vol. 15, pp. 215–223 (2011)

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

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