DAF is a novel deep forest-based detector for diffusion-generated images that uses fewer parameters and less computation than DNN methods while matching their performance.
Diffusion epistemic uncertainty with asymmetric learning for diffusion-generated image detection
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Detecting Diffusion-generated Images via Dynamic Assembly Forests
DAF is a novel deep forest-based detector for diffusion-generated images that uses fewer parameters and less computation than DNN methods while matching their performance.