Computational, label, and data efficiency in deep learning for sparse 3D data
| Author | : Li, Lanxiao |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 256 |
| Release | : 2024-05-13 |
| ISBN-10 | : 9783731513469 |
| ISBN-13 | : 3731513463 |
| Rating | : 4/5 (463 Downloads) |
Book Synopsis Computational, label, and data efficiency in deep learning for sparse 3D data by : Li, Lanxiao
Download or read book Computational, label, and data efficiency in deep learning for sparse 3D data written by Li, Lanxiao and published by KIT Scientific Publishing. This book was released on 2024-05-13 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 technology.
