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