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Culture-specific emotional perception can be effectively integrated into MLLMs, but current models struggle to achieve even 50% accuracy on this nuanced task.
FashionLens achieves state-of-the-art performance in versatile fashion image retrieval by dynamically adapting query representations to task-aligned metric spaces, outperforming specialized models.
