A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units

Adi Szeskin, Lev Faivishevsky, Ashwin K Muppalla +2

We present a deep learning system for testing graphics units by detecting novel visual corruptions in videos. Unlike previous work in which manual tagging was required to collect l…