1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation
Xuming Zhang, Xingfa Gu, Qingjiu Tian +1
Improving hyperspectral image (HSI) semantic segmentation by exploiting complementary information from a supplementary data type (referred to X-modality) is promising but challengi…
cs.CV2024
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation
Xuming Zhang, Naoto Yokoya, Xingfa Gu +2
Hyperspectral image (HSI) classification has recently reached its performance bottleneck. Multimodal data fusion is emerging as a promising approach to overcome this bottleneck by…
cs.CV2023★ 1 cited
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification
Xuming Zhang, Jian Yan, Jia Tian +3
Deep learning methods have been successfully applied to hyperspectral image (HSI) classification with remarkable performance. Because of limited labelled HSI data, earlier studies…