"industrial anomaly detection" Papers
9 papers found
Conference
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao, Yan Luo, Zefeng Qian et al.
NEURIPS 2025arXiv:2511.05245
2
citations
Kaputt: A Large-Scale Dataset for Visual Defect Detection
Sebastian Höfer, Dorian Henning, Artemij Amiranashvili et al.
ICCV 2025arXiv:2510.05903
2
citations
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
Xi Jiang, Jian Li, Hanqiu Deng et al.
ICLR 2025arXiv:2410.09453
18
citations
AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset
Jan Lehr, Jan H Philipps, Alik Sargsyan et al.
ECCV 2024
4
citations
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.
AAAI 2024paperarXiv:2308.15366
252
citations
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
Qiyu Chen, Huiyuan Luo, Chengkan Lv et al.
ECCV 2024arXiv:2407.09359
76
citations
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Soopil Kim, Sion An, Philip Chikontwe et al.
AAAI 2024paperarXiv:2312.13783
40
citations
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
Xiaofan Li, Zhizhong Zhang, Xin Tan et al.
CVPR 2024arXiv:2404.05231
114
citations
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
Yuanpeng Tu, Boshen Zhang, Liang Liu et al.
ECCV 2024arXiv:2401.03145
24
citations