Learning visual models using a knowledge graph as a trainer

Most autonomous cars use cameras to navigate the real world. Computer vision (CV) is a field of artificial intelligence that enables computers to interpret and gain a basic understanding from digital images or videos. For example, when an autonomous car detects and identifies a stop sign, the car should slow down and stop. Recent approaches of CV utilize deep learning methods as they can accurately identify and classify objects given a large and balanced set of training data. However, it has been shown that minor variations between the training and application domain can lead to unpredictable and catastrophic errors.

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