2 citations · 4 across the 5 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.CV2025★ 1 cited
MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification
Yichu Xu, Di Wang, Hongzan Jiao +2
Mamba-based models have recently demonstrated significant potential in hyperspectral image (HSI) classification, primarily due to their ability to perform contextual modeling with…
cs.CL2025★ 1 cited
Model Hemorrhage and the Robustness Limits of Large Language Models
Ziyang Ma, Zuchao Li, Lefei Zhang +4
Large language models (LLMs) demonstrate strong performance across natural language processing tasks, yet undergo significant performance degradation when modified for deployment t…
cs.CV2025
HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-Resolution
Shi Chen, Lefei Zhang, Liangpei Zhang
Mamba has demonstrated exceptional performance in visual tasks due to its powerful global modeling capabilities and linear computational complexity, offering considerable potential…