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.
Pseudolabel-based unreliable sample learning for semi-supervised hyperspectral image classification
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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.