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Diff-Feat: Diffusion-Based Cross-Modal Feature Extraction for Multi-Label Classification
Multi-label classification has broad applications and depends on powerful representations capable of capturing multiple interactions. We introduce Diff-Feat, a simple yet effective framework that extracts intermediate features from pre-trained diffusion-Transformer models for both images and text, a
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