ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification

Author:

Cao Zeyu,Li Xiaorun,Feng Yueming,Chen Shuhan,Xia Chaoqun,Zhao Liaoying

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference49 articles.

1. Conditional random field and deep feature learning for hyperspectral image classification;Alam;IEEE Trans. Geosci. Remote Sens.,2018

2. M. Arjovsky, S. Chintala, L. Bottou, Wasserstein gan, 2017, arXiv preprint arXiv:1701.07875.

3. D.H. Ballard, Modular learning in neural networks, in: AAAI, 1987, pp. 279–284.

4. L. Bottou, Large-scale machine learning with stochastic gradient descent, in: Proceedings of COMPSTAT’2010. Springer, 2010, pp. 177–186.

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

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