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Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies

A deep-learning based system, which performs real-time detection of diverse visual corruptions in videos. Developing this system involved challenging data science aspects to enable detection of small distortions with low false alert rates.