Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving
Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving explores Improve autonomous vehicle object detection by intelligently removing redundant labels from multisource, multimodal data, leading to better performance and data efficiency.. Commercial viability score: 7/10 in Autonomous Driving.
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