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:
Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization
Lars Heckler, Rebecca König, Paul Bergmann
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 2917-2926
Closed Access | Times Cited: 6
Lars Heckler, Rebecca König, Paul Bergmann
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 2917-2926
Closed Access | Times Cited: 6
Showing 6 citing articles:
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 16699-16708
Closed Access | Times Cited: 10
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 16699-16708
Closed Access | Times Cited: 10
Unsupervised anomaly detection and localization via bidirectional knowledge distillation
Xiaoming Wang, Yongxiong Wang, Zhiqun Pan, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18499-18514
Closed Access | Times Cited: 1
Xiaoming Wang, Yongxiong Wang, Zhiqun Pan, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18499-18514
Closed Access | Times Cited: 1
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
Blaž Rolih, Matic Fučka, Danijel Skočaj
Lecture notes in computer science (2024), pp. 47-65
Closed Access | Times Cited: 1
Blaž Rolih, Matic Fučka, Danijel Skočaj
Lecture notes in computer science (2024), pp. 47-65
Closed Access | Times Cited: 1
Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer
Jun‐Hyung Kim, Goo‐Rak Kwon
IEEE Access (2024) Vol. 12, pp. 127604-127613
Open Access
Jun‐Hyung Kim, Goo‐Rak Kwon
IEEE Access (2024) Vol. 12, pp. 127604-127613
Open Access
Model-guided contrastive fine-tuning for industrial anomaly detection
Aitor Artola, Yannis Kolodziej, Jean‐Michel Morel, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024), pp. 3981-3991
Closed Access
Aitor Artola, Yannis Kolodziej, Jean‐Michel Morel, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024), pp. 3981-3991
Closed Access
Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection
Mohammadreza Salehi, Nikolaos Apostolikas, Efstratios Gavves, et al.
Lecture notes in computer science (2024), pp. 445-461
Closed Access
Mohammadreza Salehi, Nikolaos Apostolikas, Efstratios Gavves, et al.
Lecture notes in computer science (2024), pp. 445-461
Closed Access
