Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you if: you're new to few-shot learning and want to learn; or you're looking ...
Abstract: Data heterogeneity across clients is a key challenge in federated learning. Prior works address this by either aligning client and server models or using control variates to correct client ...
Abstract: Digital surface model (DSM) block adjustment is a crucial step to improve absolute height accuracy and consistency within overlap in large-scale topographic ...
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