Visual Anomaly Detection (VAD) endeavors to pinpoint deviations from the concept of normality in visual data, widely applied across diverse domains, eg, industrial defect …
Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct …
This paper does not present a novel method. Instead, it delves into an essential, yet must- know baseline in light of the latest advancements in Generative Artificial Intelligence …
Recent research has offered insights into the extraordinary capabilities of Large Multimodal Models (LMMs) in various general vision and language tasks. There is growing interest in …
X Lei, Z Yang, X Chen, P Li, Y Liu - arXiv preprint arXiv:2402.12058, 2024 - arxiv.org
State-of-the-art Large Multi-Modal Models (LMMs) have demonstrated exceptional capabilities in vision-language tasks. Despite their advanced functionalities, the …
In machine learning, generalization against distribution shifts--where deployment conditions diverge from the training scenarios--is crucial, particularly in fields like climate modeling …
Understanding the reasoning capabilities of Multimodal Large Language Models (MLLMs) is an important area of research. In this study, we introduce a dynamic benchmark …
CH Ho, KC Peng… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Anomaly detection (AD) aims to identify defective images and localize their defects (if any). Ideally AD models should be able to detect defects over many image classes; without relying …
This paper explores the potential of Large Language Models (LLMs) in zero-shot anomaly detection for safe visual navigation. With the assistance of the state-of-the-art real-time open …