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Arxiv
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Extract Free Dense Misalignment from CLIP
- Recent vision-language foundation models often produce misalignments in their outputs.
- A novel approach called CLIP4DM has been proposed to detect dense misalignments between image and text.
- CLIP4DM revamps the gradient-based attribution computation method to indicate misalignment.
- CLIP4DM demonstrates state-of-the-art performance and efficiency in detecting misalignments.
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