Vision foundation models (VFMs) have become a cornerstone in the field of computer vision. These models, which are trained on large-scale datasets, have demonstrated remarkable capabilities in a wide range of visual perception tasks. The primary advantage of VFMs lies in their ability to generalize across different domains, making them

Table of Contents 1. Introduction 2. Introduction to RobustSAM 3. Architecture of RobustSAM 4. Results and Performance of RobustSAM 5. Applications Of RobustSAM 6. Conclusion 7. FAQ Introduction In the field of computer vision, image segmentation stands as a crucial task. It involves partitioning an image into multiple segments or