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East China Normal University
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DMCoStain revolutionizes stain transfer accuracy by integrating expert-guided data refinement with cutting-edge vision-language modeling.
A tailored vision-language framework boosts diagnostic accuracy on 3D CT imaging by over 5% while enhancing zero-shot reliability through innovative semantic alignment techniques.
Humanoid robots can learn to distinguish themselves from others purely through proprioceptive-visual cues, enabling advanced social interactions without predefined identities.