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Peking University
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VLMs can achieve state-of-the-art adversarial robustness by iteratively refining visual and textual representations through a closed-loop prompting mechanism, even with frozen encoders.
Diffusion models can generate segmentations that rival discriminative methods, but only if you reshape their vector fields with a distance-aware correction term that combats gradient vanishing.