Distilled transformers with locally enhanced global representations for face forgery detection

Published: 01 Jan 2025, Last Modified: 07 Mar 2025Pattern Recognit. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A distilled transformer network to capture locally enhanced global forgery traces.•A plug-and-play MAS module to increase the diversity of attention maps.•A novel self-distillation scheme that yields soft labels and combines metric learning.
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