Research

Positional Learning

Positional Learning

I invented POsitional LeARning (Polar), a novel training scheme for CNNs that implicitly reveals underlying spatial or spectral information and can highlight its inconsistencies. Positional learning has already been applied successfully to AI-generated image detection, and mosaic inconsistency detection, for image forensics. Continue reading Positional Learning


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