A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units.
Adi SzeskinLev FaivishevskyAshwin K. MuppallaAmitai ArmonTom HopePublished in: CoRR (2019)
Keyphrases
- detecting anomalies
- anomaly detection
- visual information
- visual features
- computer graphics
- search based testing
- high level
- semi automated
- detect anomalies
- visual perception
- visual cues
- automatic detection
- neural network
- test cases
- computer aided
- fully automated
- mobile robot
- video sequences
- processing units
- automated analysis
- test data generation
- computer vision
- data mining
- databases