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Zhejiang University
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MedUP reveals that integrating visual perception and language understanding in a single token space can dramatically enhance performance in medical vision-language tasks.
ASTRA-Net achieves a remarkable mean Dice score of 0.8927 for airway segmentation in drug-induced sleep endoscopy, even with minimal real annotations.
Over 1,100 submissions reveal groundbreaking advancements in sports video understanding, with new methods pushing the boundaries of action prediction and localization.
Achieving 95% accuracy, MSUE's innovative multi-expert architecture redefines how we approach visual question answering in complex domains.
Current AI agents struggle to reliably rediscover scientific knowledge, with top performers averaging only 21.5 out of a possible score, revealing critical gaps in their research capabilities.
