3 papers
cs.CV2024
Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
Zhaoxiang Zhang, Hanqiu Deng, Jinan Bao +1
Image Anomaly Detection has been a challenging task in Computer Vision field. The advent of Vision-Language models, particularly the rise of CLIP-based frameworks, has opened new a…
eess.IV2024
BMAD: Benchmarks for Medical Anomaly Detection
Jinan Bao, Hanshi Sun, Hanqiu Deng +3
Anomaly detection (AD) is a fundamental research problem in machine learning and computer vision, with practical applications in industrial inspection, video surveillance, and medi…
cs.LG2024
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination
Yifei Lin, Hanqiu Deng, Xingyu Li
Nowadays large computers extensively output logs to record the runtime status and it has become crucial to identify any suspicious or malicious activities from the information prov…