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Found 2 papers, 1 papers with code
Interpretable End-to-End Driving Model for Implicit Scene Understanding
Driving scene understanding is to obtain comprehensive scene information through the sensor data and provide a basis for downstream tasks, which is indispensable for the safety of self-driving vehicles.
A Dual Semantic-Aware Recurrent Global-Adaptive Network For Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a realistic but challenging task that requires an agent to locate the target region using verbal and visual cues.
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