foundation models 1hyperspectral image classification 1low-rank adaptation 1multi-branch architecture 1spectral continuity 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
PNEC-Mamba: Prototype-Guided Positive-Negative Evidence Calibration for Hyperspectral Image Classification
Mingzhen Xu, Can Xu, Di Wang +2
In real-world hyperspectral scenes, pixel representations are often ambiguous due to factors such as spectral similarity, mixed pixels, and local context interference, which may si…
cs.CV2026
MBTI: A Multi-Branch Efficient Fine-Tuning Framework for Hyperspectral Image Classification with Foundation Models
Mingzhen Xu, Haonan Guo, Di Wang +9
The paper introduces MBTI, a multi-branch fine‑tuning framework that adapts hyperspectral foundation models to classification tasks while preserving full‑band spectral information…