Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

14 May 2025

Papers citing "Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt"

4 / 4 papers shown

Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhu Jiangtao Yan Y. Cai W. Zhang Meng Wang Jun Liu Y. Liu L. Wang Chengjie Wang VLM 38 0 0 15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 22 0 0 14 May 2025
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection Haoyu Bai Jie Wang Gaomin Li X. Li Xiaohu Zhang Xia Yang 29 0 0 06 May 2025
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 80 286 0 20 Apr 2021