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Ziwei Liu on X: "We propose **DeepFake-Adapter**, which effectively adapts a pre-trained ViT by enabling high-level semantics from ViT to organically interact with global and local low-level forgeries from adapters. - Paper:
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![Papers with Code on Twitter: "4⃣ ViT-Adapter (Chen et al) - introduces a vision transformer adapter to improve the performance of ViT on dense prediction tasks; several best results are reported on Papers with Code on Twitter: "4⃣ ViT-Adapter (Chen et al) - introduces a vision transformer adapter to improve the performance of ViT on dense prediction tasks; several best results are reported on](https://pbs.twimg.com/media/FUFnjWaWUAEBIua.jpg)
Papers with Code on Twitter: "4⃣ ViT-Adapter (Chen et al) - introduces a vision transformer adapter to improve the performance of ViT on dense prediction tasks; several best results are reported on
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