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Shadow: A Novel Loss Function for Efficient Training in Siamese Networks
Its effectiveness and robustness across balanced, imbalanced, medical, and non-medical image datasets suggests that it is not specific to a particular model or dataset but demonstrates superior performance consistently while using less memory and computation.
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