8 citations · 13 across the 4 of their papers we have counts for
4 papers
SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images
Yao Ding, Zhili Zhang, Aitao Yang +4
Self-supervised hyperspectral image (HSI) clustering remains a fundamental yet challenging task due to the absence of labeled data and the inherent complexity of spatial-spectral i…
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image
Yao Ding, Weijie Kang, Aitao Yang +5
Hyperspectral image (HSI) clustering has been a fundamental but challenging task with zero training labels. Currently, some deep graph clustering methods have been successfully exp…
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
Aitao Yang, Min Li, Yao Ding +3
Efficient extraction of spectral sequences and geospatial information has always been a hot topic in hyperspectral image classification. In terms of spectral sequence feature captu…
Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection
Yilong Lv, Min Li, Yujie He +3
Anchor-based detectors have been continuously developed for object detection. However, the individual anchor box makes it difficult to predict the boundary's offset accurately. Ins…