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Found 2 papers, 2 papers with code
Curriculum Prompting Foundation Models for Medical Image Segmentation
Adapting large pre-trained foundation models, e. g., SAM, for medical image segmentation remains a significant challenge.
Generalizable Facial Expression Recognition
To preserve the generalization ability of CLIP and the high precision of the FER model, we design a novel approach that learns sigmoid masks based on the fixed CLIP face features to extract expression features.
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