Why Convolution Still Matters: Evaluating Inductive Biases in Cryospheric Image Classification
arXiv:2610.04073v1 Announce Type: new Abstract: 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, r…
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- 2026-10-06 04:00 · arXiv cs.CV
Why Convolution Still Matters: Evaluating Inductive Biases in Cryospheric Image Classification