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Tohoku University
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MAGE-Vein reveals that demographic biases, not the modality itself, were the primary culprits behind past failures in finger vein age estimation.
A lightweight vision-only framework achieves superior face anti-spoofing accuracy without the complexity of multimodal fusion.
Achieving fully supervised segmentation accuracy with only 0.7% of the training data labeled could revolutionize OCT image analysis.
Synthetic training images and a self-supervised architecture enable PlankFormer to achieve unprecedented accuracy in plankton segmentation amidst challenging debris-laden environments.
