A parameter-efficient adapter with low-rank token experts and frequency-aware filtering improves domain generalization for multispectral land cover classification with frozen vision foundation models.
Broni-Bediako, J
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Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts
A parameter-efficient adapter with low-rank token experts and frequency-aware filtering improves domain generalization for multispectral land cover classification with frozen vision foundation models.