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4. Multi-Task Learning In Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks

Multi-Task Learning In Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks

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IEEE ICASSP 2020 Virtual Conference May 2020

Many deep learning applications benefit from multi-task learning with several related objectives. In autonomous driving scenarios, being able to accurately infer motion and spatial information is essential for scene understanding. In this paper, we combin

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Multi-Task Learning In Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks

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Many deep learning applications benefit from multi-task learning with several related objectives. In autonomous driving scenarios, being able to accurately infer motion and spatial information is essential for scene understanding. In this paper, we combin