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.