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GAFIC achieves unprecedented accuracy in image cropping by fusing local and global features, outperforming traditional methods that compromise pixel integrity.
Diffusion models can beat discriminative classifiers at facial expression recognition, but only with a dynamically adjusted margin loss that accounts for per-sample difficulty.
