foundation models 1hyperspectral image classification 1low-rank adaptation 1multi-branch architecture 1spectral continuity 1
From the 1 of 3 linked papers with an AI index.
3 papers
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…
cs.CV2025
Prompt-Free Conditional Diffusion for Multi-object Image Augmentation
Haoyu Wang, Lei Zhang, Wei Wei +2
Diffusion models has underpinned much recent advances of dataset augmentation in various computer vision tasks. However, when involving generating multi-object images as real scena…
cs.CV2024
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
Fei Zhou, Peng Wang, Lei Zhang +5
Meta-learning offers a promising avenue for few-shot learning (FSL), enabling models to glean a generalizable feature embedding through episodic training on synthetic FSL tasks in…