145 citations · 164 across the 4 of their papers we have counts for
4 papers
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
Shengbo Gao, Ziji Zhang, Jiechao Ma +2
Semi-supervised learning has become increasingly popular in medical image segmentation due to its ability to leverage large amounts of unlabeled data to extract additional informat…
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Yaoming Cai, Zijia Zhang, Yan Liu +4
Clustering of hyperspectral images is a fundamental but challenging task. The recent development of hyperspectral image clustering has evolved from shallow models to deep and achie…
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering
Yaoming Cai, Zijia Zhang, Zhihua Cai +3
This paper presents FLGC, a simple yet effective fully linear graph convolutional network for semi-supervised and unsupervised learning. Instead of using gradient descent, we train…
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image
Yaoming Cai, Zijia Zhang, Zhihua Cai +3
Hyperspectral image (HSI) clustering is a challenging task due to the high complexity of HSI data. Subspace clustering has been proven to be powerful for exploiting the intrinsic r…