Search Results for author:
Found 2 papers, 1 papers with code
ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer
Deep learning models achieve high accuracy in segmentation tasks among others, yet domain shift often degrades the models' performance, which can be critical in real-world scenarios where no target images are available.
Defense-Prefix for Preventing Typographic Attacks on CLIP
In this study, we addressed the reduction of the impact of typographic attacks on CLIP without changing the model parameters.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
