Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations
Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations explores This research explores self-supervised learning to enhance zero-shot generalization in autonomous driving across diverse city environments.. Commercial viability score: 7/10 in Autonomous Driving.
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