KronA+ fine-tunes SpectralGPT for hyperspectral image classification using only 0.056% trainable parameters and reaches accuracy close to full fine-tuning on five public datasets.
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Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification
KronA+ fine-tunes SpectralGPT for hyperspectral image classification using only 0.056% trainable parameters and reaches accuracy close to full fine-tuning on five public datasets.