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Why Convolution Still Matters: Evaluating Inductive Biases in Cryospheric Image Classification
Recent advances in attention-based deep learning have motivated their adoption for remote sensing image classification; however, their benefits for cryospheric imagery, where surface states are dominated by fine-grained textures and class imbalance, remain unclear. In this work, we revisit a benchma
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