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Abstract: Both traditional and learning-based hyperspectral image (HSI) compression methods suffer from significant quality loss at high compression ratios. To address this, we propose a low-overhead, ...
Abstract: Token compression is essential for reducing the computational and memory requirements of transformer models, enabling their deployment in resource-constrained environments. In this work, we ...