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cs.CV2024
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspective
Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen +1
Adapting pre-trained models to new tasks can exhibit varying effectiveness across datasets. Visual prompting, a state-of-the-art parameter-efficient transfer learning method, can s…
cs.CV2024
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection
Zhiyuan He, Pin-Yu Chen, Tsung-Yi Ho
The rapid advances in generative AI models have empowered the creation of highly realistic images with arbitrary content, raising concerns about potential misuse and harm, such as…