Unsupervised Adaptation from Repeated Traversals for Autonomous Driving

Neural Information Processing Systems 

For a self-driving car to operate reliably, its perceptual system must generalize to the end-user's environment -- ideally without additional annotation efforts. One potential solution is to leverage unlabeled data (e.g., unlabeled LiDAR point

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