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...
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| Үндсэн зохиолч: | |
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| Формат: | Online |
| Хэл сонгох: | англи |
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KIT Scientific Publishing
2024
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| Нөхцлүүд: | |
| Онлайн хандалт: | OCN: 1435579452 |
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Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869520976420536320 |
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| author | Li, Lanxiao |
| author_browse | Li, Lanxiao |
| author_facet | Li, Lanxiao |
| author_sort | Li, Lanxiao |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-138180 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1381802025-05-27T06:15:01Z Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data Li, Lanxiao 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 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. 2024-05-22T04:04:50Z 2024-05-22T04:04:50Z 2024-05-21T07:51:03Z 2024 book OCN: 1435579452 https://library.oapen.org/handle/20.500.12657/90368 9783731513469 https://directory.doabooks.org/handle/20.500.12854/138180 eng Forschungsberichte aus der Industriellen Informationstechnik open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/90368/1/computational-label-and-data-efficiency-in-deep-learning-for-sparse-3d-data.pdf https://library.oapen.org/bitstream/20.500.12657/90368/1/computational-label-and-data-efficiency-in-deep-learning-for-sparse-3d-data.pdf https://library.oapen.org/bitstream/20.500.12657/90368/1/computational-label-and-data-efficiency-in-deep-learning-for-sparse-3d-data.pdf https://library.oapen.org/bitstream/20.500.12657/90368/1/computational-label-and-data-efficiency-in-deep-learning-for-sparse-3d-data.pdf https://library.oapen.org/bitstream/20.500.12657/90368/1/computational-label-and-data-efficiency-in-deep-learning-for-sparse-3d-data.pdf KIT Scientific Publishing 10.5445/KSP/1000168541 10.5445/KSP/1000168541 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731513469 AG Universitätsverlage 256 open access |
| spellingShingle | 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 Li, Lanxiao Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data |
| title | Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data |
| title_full | Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data |
| title_fullStr | Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data |
| title_full_unstemmed | Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data |
| title_short | Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data |
| title_sort | computational label and data efficiency in deep learning for sparse 3d data |
| topic | 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 |
| topic_facet | 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 |
| url | OCN: 1435579452 |
| work_keys_str_mv | AT lilanxiao computationallabelanddataefficiencyindeeplearningforsparse3ddata |