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Loss functions incorporating earth mover’s distance, Pearson Correlation Coefficient, and selective input-driven weighting are presented. Experiments applying these to a passive microwave brightness ...
This project focuses on image compression using a convolutional autoencoder. The goal is to compress satellite images from the EuroSAT dataset into a compact representation and reconstruct them with ...
Users could implement their custom loss functions by manually applying weights. However, this approach can be error-prone and less efficient compared to having optimized, built-in functions within the ...
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