Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data

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...

Täydet tiedot

Bibliografiset tiedot

Päätekijä:	Li, Lanxiao
Aineistotyyppi:	Online
Kieli:	englanti
Julkaistu:	KIT Scientific Publishing 2024
Aiheet:	Efficiency; 3D Data; Artificial Intelligence; Effizienz; 3D-Daten; Künstliche Intelligenz; Deep Learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Linkit:	OCN: 1435579452
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