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FAS-R1 achieves unprecedented accuracy in face anti-spoofing by combining reasoning-oriented multi-task learning with innovative post-training techniques.
Gaze trajectory can transform medical image segmentation, achieving over 81% accuracy without requiring pixel-level annotations.
Touchscreen authentication can be dramatically improved by jointly modeling physiological contact structures and behavioral motion dynamics, achieving near-perfect accuracy and strong attack resilience.
Radiologists and AI can mutually reinforce each other's diagnostic accuracy by integrating visual cognition traces into a collaborative network for chest X-ray diagnosis.
