Diversified Contrastive Learning For Few-Shot Classification

Author:

Lu Guangtong,Li FanzhangORCID

Publisher

Springer Nature Switzerland

Reference30 articles.

1. Bachman, P., Hjelm, R.D., Buchwalter, W.: Learning representations by maximizing mutual information across views. In: Advances in Neural Information Processing Systems 32 (2019)

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3. Chen, Y., Wang, X., Liu, Z., Xu, H., Darrell, T., et al.: A new meta-baseline for few-shot learning, vol. 2(3), p. 5. arXiv preprint arXiv:2003.04390 (2020)

4. Chen, Z., Ge, J., Zhan, H., Huang, S., Wang, D.: Pareto self-supervised training for few-shot learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 13663–13672 (2021)

5. Dai, L., Feng, L., Shang, X., Su, H.: Cross modal adaptive few-shot learning based on task dependence. Chin. J. Electron. 32(1), 85–96 (2023)

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