ConvVitMamba integrates multiscale convolution, transformer encoding, and Mamba-based refinement with PCA to outperform prior CNN, ViT, and Mamba methods in accuracy, size, and speed on four HSI benchmark datasets.
2012 IEEE Southwest Symposium on Image Analysis and Interpretation , pages=
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ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image Classification
ConvVitMamba integrates multiscale convolution, transformer encoding, and Mamba-based refinement with PCA to outperform prior CNN, ViT, and Mamba methods in accuracy, size, and speed on four HSI benchmark datasets.