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Learning Common and Transferable Feature Representations for Multi-Modal Data
(2020)2020 IEEE Intelligent Vehicles Symposium (IV)LiDAR sensors are crucial in automotive perception for accurate object detection. However, LiDAR data is hard to interpret for humans and consequently time-consuming to label. Whereas camera data is easy interpretable and thus, comparably simpler to label. Within this work we present a transductive transfer learning approach to transfer the knowledge for the object detection task from images to point cloud data. We propose a multi-modal ...Conference Paper