computational-label-and-data-efficiency-in-deep-learning-for-sparse-3d-data.pdf

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 an...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:English
Έκδοση: KIT Scientific Publishing 2024
Διαθέσιμο Online:https://doi.org/10.5445/KSP/1000168541