Visual prompt engineering is a fundamental methodology in the field of visual and image
artificial general intelligence. As the development of large vision models progresses, the …

Artificial intelligence (AI) is evolving towards artificial general intelligence, which refers to the
ability of an AI system to perform a wide range of tasks and exhibit a level of intelligence …

Abstract Segment Anything Model (SAM) has emerged as a powerful tool for numerous
vision applications. A key component that drives the impressive performance for zero-shot …

Segment anything model (SAM) developed by Meta AI Research has recently attracted
significant attention. Trained on a large segmentation dataset of over 1 billion masks, SAM is …

Generative AI (GenAI) represents a shift from AI's ability to “recognize” to its ability to
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …

Deep Neural Networks (DNNs) have revolutionized various fields by enabling task
automation and reducing human error. However, their internal workings and decision …

Concept-based explanations have become a popular choice for explaining deep neural
networks post-hoc because, unlike most other explainable AI techniques, they can be used …

With the growing popularity of general-purpose Large Language Models (LLMs), comes a
need for more global explanations of model behaviors. Concept-based explanations arise …

Concept Bottleneck Models (CBMs) aim to deliver interpretable and interventionable
predictions by bridging features and labels with human-understandable concepts. While …

Abstract Recently, the Segment Anything Model (SAM) has gained substantial attention in
image segmentation due to its remarkable performance. It has demonstrated impressive …