OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
Xincheng Yao, Ruoqi Li, Zefeng Qian, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 12
Xincheng Yao, Ruoqi Li, Zefeng Qian, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 12
Showing 12 citing articles:
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Guoyang Xie, Jinbao Wang, Jiaqi Liu, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 5, pp. 2720-2733
Open Access | Times Cited: 30
Guoyang Xie, Jinbao Wang, Jiaqi Liu, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 5, pp. 2720-2733
Open Access | Times Cited: 30
Robustness of unsupervised methods for image surface-anomaly detection
Jakob Božič, Matic Fučka, Vitjan Zavrtanik, et al.
Pattern Analysis and Applications (2025) Vol. 28, Iss. 2
Open Access
Jakob Božič, Matic Fučka, Vitjan Zavrtanik, et al.
Pattern Analysis and Applications (2025) Vol. 28, Iss. 2
Open Access
Few-shot anomaly detection with adaptive feature transformation and descriptor construction
Zhengnan HU, Xiangrui ZENG, Yiqun Li, et al.
Chinese Journal of Aeronautics (2024)
Open Access | Times Cited: 2
Zhengnan HU, Xiangrui ZENG, Yiqun Li, et al.
Chinese Journal of Aeronautics (2024)
Open Access | Times Cited: 2
Toward Generalist Anomaly Detection via In-Context Residual Learning with Few-Shot Sample Prompts
Jiawen Zhu, Guansong Pang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 17826-17836
Closed Access | Times Cited: 2
Jiawen Zhu, Guansong Pang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 17826-17836
Closed Access | Times Cited: 2
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
Xincheng Yao, Ruoqi Li, Zefeng Qian, et al.
Lecture notes in computer science (2024), pp. 92-108
Closed Access | Times Cited: 2
Xincheng Yao, Ruoqi Li, Zefeng Qian, et al.
Lecture notes in computer science (2024), pp. 92-108
Closed Access | Times Cited: 2
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
Liren He, Zhengkai Jiang, Jinlong Peng, et al.
Lecture notes in computer science (2024), pp. 216-232
Closed Access | Times Cited: 1
Liren He, Zhengkai Jiang, Jinlong Peng, et al.
Lecture notes in computer science (2024), pp. 216-232
Closed Access | Times Cited: 1
A SAM-guided Two-stream Lightweight Model for Anomaly Detection
Chenghao Li, Lei Qi, Xin Geng
ACM Transactions on Multimedia Computing Communications and Applications (2024)
Open Access | Times Cited: 1
Chenghao Li, Lei Qi, Xin Geng
ACM Transactions on Multimedia Computing Communications and Applications (2024)
Open Access | Times Cited: 1
Multilevel saliency-guided self-supervised learning for image anomaly detection
Jianjian Qin, Chunzhi Gu, Jun Yu, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 8-9, pp. 6339-6351
Closed Access
Jianjian Qin, Chunzhi Gu, Jun Yu, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 8-9, pp. 6339-6351
Closed Access
Efficient textile anomaly detection via memory guided distillation network
Jingyu Yang, Haochen Wang, Ziyang Song, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Jingyu Yang, Haochen Wang, Ziyang Song, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Local–global normality learning and discrepancy normalizing flow for unsupervised image anomaly detection
Haiming Yao, Wei Luo, Weihang Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109235-109235
Closed Access
Haiming Yao, Wei Luo, Weihang Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109235-109235
Closed Access
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Bin-Bin Gao
Lecture notes in computer science (2024), pp. 454-470
Closed Access
Bin-Bin Gao
Lecture notes in computer science (2024), pp. 454-470
Closed Access
Enhancing industrial anomaly detection with Mamba-inspired feature fusion
Mingjing Pei, Mingjing Pei, Yourui Huang, et al.
Journal of Visual Communication and Image Representation (2024), pp. 104368-104368
Closed Access
Mingjing Pei, Mingjing Pei, Yourui Huang, et al.
Journal of Visual Communication and Image Representation (2024), pp. 104368-104368
Closed Access
