MIFOMO adapts a remote sensing foundation model with coalescent projection, mixup domain adaptation, and label smoothing to outperform prior methods by up to 14% in cross-domain few-shot HSI classification.
Category-specific prototype self-refinement contrastive learning for few-shot hyperspectral image classification,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
MIFOMO adapts a remote sensing foundation model with coalescent projection, mixup domain adaptation, and label smoothing to outperform prior methods by up to 14% in cross-domain few-shot HSI classification.