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Enhancement-Driven Pretraining for Robust Fingerprint Representation Learning
Fingerprint recognition stands as a pivotal component of biometric technology, with diverse applications from identity verification to advanced search tools.
Center Loss Regularization for Continual Learning
Our approach remembers old tasks by projecting the representations of new tasks close to that of old tasks while keeping the decision boundaries unchanged.
Deep CNNs for Peripheral Blood Cell Classification
We fine-tune the state-of-the-art image classification models pre-trained on the ImageNet dataset for blood cell classification.
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