Check new version available.When using this dataset, please cite the original publication as follows: Dennler, N., Foncubierta-Rodriguez, A., Neupert, T., Sousa, M. (2021). Learning-based defect recognition for quasi-periodic HRSTEM images. Micron, 146(July 2020), 103069. https://doi.org/10.1016/j.micron.2021.10306
Anomaly detection aims at identifying data points that show systematic deviations from the majority ...
The last six authors, Sofia Paschaloudi, Morten Vuust, Jesper Carl, Ulla Møller Weinreich, Lasse Rii...
Recently, anomaly detection for improving the productivity of machinery in industrial environments h...
Check new version available.When using this dataset, please cite the original publication as follows...
This is the image dataset and model used to produce the results reported in the following publicatio...
Please refer to the latest version, which includes all images and corresponding labels. -> https://z...
This dataset accompanies the paper titled Defect detection in atomic-resolution images via unsupervi...
Publisher Copyright: © 2022, The Author(s).Aerospace welds are non-destructively evaluated (NDE) dur...
The original version of this article, published on 17 April 2018, unfortunately contained a mistake
The publisher regrets that figures were misplaced after the proofing stage. Figure 4 and 5 are dupli...
The Scanning tunneling microscope (STM) is a micro instrument designed for surface morphology with n...
The progress in computer vision technology has significantly improved the reliability, effectiveness...
Current state-of-the-art anomaly detection (AD) methods exploit the powerful representations yielded...
Different types of surface defects will occur during the production of strip steel. To ensure produc...
Today the quality control of inserts at Sandvik is done manually by looking at their crosssections t...
Anomaly detection aims at identifying data points that show systematic deviations from the majority ...
The last six authors, Sofia Paschaloudi, Morten Vuust, Jesper Carl, Ulla Møller Weinreich, Lasse Rii...
Recently, anomaly detection for improving the productivity of machinery in industrial environments h...
Check new version available.When using this dataset, please cite the original publication as follows...
This is the image dataset and model used to produce the results reported in the following publicatio...
Please refer to the latest version, which includes all images and corresponding labels. -> https://z...
This dataset accompanies the paper titled Defect detection in atomic-resolution images via unsupervi...
Publisher Copyright: © 2022, The Author(s).Aerospace welds are non-destructively evaluated (NDE) dur...
The original version of this article, published on 17 April 2018, unfortunately contained a mistake
The publisher regrets that figures were misplaced after the proofing stage. Figure 4 and 5 are dupli...
The Scanning tunneling microscope (STM) is a micro instrument designed for surface morphology with n...
The progress in computer vision technology has significantly improved the reliability, effectiveness...
Current state-of-the-art anomaly detection (AD) methods exploit the powerful representations yielded...
Different types of surface defects will occur during the production of strip steel. To ensure produc...
Today the quality control of inserts at Sandvik is done manually by looking at their crosssections t...
Anomaly detection aims at identifying data points that show systematic deviations from the majority ...
The last six authors, Sofia Paschaloudi, Morten Vuust, Jesper Carl, Ulla Møller Weinreich, Lasse Rii...
Recently, anomaly detection for improving the productivity of machinery in industrial environments h...
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