2 papers
cs.CV2026
Multimodal Industrial Anomaly Detection via Geometric Prior
Min Li, Jinghui He, Gang Li +3
The purpose of multimodal industrial anomaly detection is to detect complex geometric shape defects such as subtle surface deformations and irregular contours that are difficult to…
cs.CV2026
Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection
Mingle Zhou, Jiahui Liu, Jin Wan +2
Unsupervised Continuous Anomaly Detection (UCAD) is gaining attention for effectively addressing the catastrophic forgetting and heavy computational burden issues in traditional Un…