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