Search Results for author:
Found 4 papers, 0 papers with code
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Following by interpreting the effects of synthetic corruption as style changes, we proceed to conduct a comprehensive evaluation for its robustness against 15 types of common corruption.
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
This is an ongoing project and we intend to update the manuscript on a regular basis.
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Beyond the basic goal of mask removal, we further investigate and find that it is possible to generate any desired mask by the adversarial attack.
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Diffusion models have become a new SOTA generative modeling method in various fields, for which there are multiple survey works that provide an overall survey.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
