Feature attributions explain model predictions by assigning importance scores to input
features. In high-dimensional data such as images, these scores are often assigned to …

Visual-language foundation Models (FMs) exhibit remarkable zero-shot generalization
across diverse tasks, largely attributed to extensive pre-training on large-scale datasets …

The accurate segmentation of corrupted images is a critical task in the field of computer
vision, demanding sophisticated solutions for precise pixel-level analysis. This paper …