Mixture of Low-rank Experts for Transferable AI-Generated Image Detection

2 code implementations • 7 Apr 2024 • Zihan Liu, Hanyi Wang, Yaoyu Kang, Shilin Wang

Remarkably, our best-performing ViT-L/14 variant requires training only 0. 08% of its parameters to surpass the leading baseline by +3. 64% mAP and +12. 72% avg. Acc across unseen diffusion and autoregressive models.

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