2 papers
cs.CV2026
Local Precise Refinement: A Dual-Gated Mixture-of-Experts for Enhancing Foundation Model Generalization against Spectral Shifts
Xi Chen, Maojun Zhang, Yu Liu +1
Domain Generalization Semantic Segmentation (DGSS) in spectral remote sensing is severely challenged by spectral shifts across diverse acquisition conditions, which cause significa…
cs.CV2025
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts
Xi Chen, Shen Yan, Juelin Zhu +3
We introduce Land-MoE, a novel approach for multispectral land cover classification (MLCC). Spectral shift, which emerges from disparities in sensors and geospatial conditions, pos…