Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification

no code implementations • 14 Nov 2022 • Mingyang Zhang, Ziqi Di, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang

In recent years, research on hyperspectral image (HSI) classification has continuous progress on introducing deep network models, and recently the graph convolutional network (GCN) based models have shown impressive performance.

Classification Generative Adversarial Network +1

Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach

1 code implementation • 11 Oct 2022 • Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang

In this paper, we propose a novel Multiview Variational Graph Information Bottleneck (MVGIB) principle to maximize the agreement for common representations and the disagreement for view-specific representations.