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Publikováno v:
International Journal of Computer Vision. 130:947-969
The unsupervised detection and localization of anomalies in natural images is an intriguing and challenging problem. Anomalies manifest themselves in very different ways and an ideal benchmark dataset for this task should contain representative examp
Publikováno v:
International Journal of Computer Vision. 129:1038-1059
The detection of anomalous structures in natural image data is of utmost importance for numerous tasks in the field of computer vision. The development of methods for unsupervised anomaly detection requires data on which to train and evaluate new app