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Harbin Institute of Technology
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FS-JEPA redefines how we optimize KANs by predicting structured edge function signatures, resulting in a significant boost in medical image segmentation performance.
Closed-loop feedback using VLMs can dramatically improve text-to-image generation quality, even without additional training.
