IEEE

ADAGENT: Anomaly Detection Agent With Multimodal Large Models in Adverse Environments

Abstract: Multimodal Language Models (MMLMs), such as LLaVA and GPT-4V, have shown zero-shot generalization capabilities for understanding images and text across various domains. However, their ...
GitHub

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Towards open-ended Video Anomaly Detection (VAD), existing methods often exhibit biased detection when faced with challenging or unseen events and lack interpretability. To address these drawbacks, we ...
GitHub

Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection (ISSRE-2024)

Log-based anomaly detection is critical in monitoring the operations of information systems and in the realtime reporting of system failures. Utilizing deep learning-based log anomaly detection ...
IEEE

Hyperspectral Anomaly Detection via Anchor Generation

Abstract: Hyperspectral anomaly detection stands out as a focal point within the realm of hyperspectral image (HSI) analysis. However, traditional anomaly detectors face challenges due to the high ...