Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data
Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Forschungsberichte aus der Industriellen Informationstechnik ; 33Publisher: [Erscheinungsort nicht ermittelbar] : KIT Scientific Publishing, 2024Description: 1 Online-Ressource (256 p.)Online resources: Summary: Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technologyPPN: PPN: 1922673722Package identifier: Produktsigel: ZDB-94-OABNo physical items for this record
English