A new unsupervised driver attention predictor with knowledge embedding, uncertainty mining, and RoboMixup augmentation matches or beats several supervised baselines on clean and corrupted driving benchmarks.
Ex- plainable object-induced action decision for autonomous vehicles
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Towards Robust Unsupervised Attention Prediction in Autonomous Driving
A new unsupervised driver attention predictor with knowledge embedding, uncertainty mining, and RoboMixup augmentation matches or beats several supervised baselines on clean and corrupted driving benchmarks.