Zobrazeno 1 - 10
of 2 956
pro vyhledávání: '"segmentation 3D"'
Autor:
Gao, Lin1 (AUTHOR) gaolin0914@nudt.edu.cn, Liu, Yu1 (AUTHOR), Chen, Xi1 (AUTHOR), Liu, Yuxiang1 (AUTHOR) liuyuxiang17@nudt.edu.cn, Yan, Shen1 (AUTHOR), Zhang, Maojun1 (AUTHOR)
Publikováno v:
Remote Sensing. Mar2024, Vol. 16 Issue 6, p1079. 21p.
Autor:
Ye, Dongqiangzi, Chen, Weijia, Zhou, Zixiang, Xie, Yufei, Wang, Yu, Wang, Panqu, Foroosh, Hassan
This technical report presents the 1st place winning solution for the Waymo Open Dataset 3D semantic segmentation challenge 2022. Our network, termed LidarMultiNet, unifies the major LiDAR perception tasks such as 3D semantic segmentation, object det
Externí odkaz:
http://arxiv.org/abs/2206.11428
Autor:
Kim MS; Department of Orthodontics and Dentofacial Orthopedics, Boston University Goldman School of Dentistry, Boston, Massachusetts. Electronic address: minkim@bu.edu., Amm E; Department of Orthodontics and Dentofacial Orthopedics, Boston University Goldman School of Dentistry, Boston, Massachusetts., Parsi G; Department of Orthodontics and Dentofacial Orthopedics, Boston University Goldman School of Dentistry, Boston, Massachusetts., ElShebiny T; Department of Orthodontics, Case Western Reserve University School of Dental Medicine, Cleveland, Ohio., Motro M; Department of Orthodontics and Dentofacial Orthopedics, Boston University Goldman School of Dentistry, Boston, Massachusetts.
Publikováno v:
Journal of the World federation of orthodontists [J World Fed Orthod] 2024 Nov 02. Date of Electronic Publication: 2024 Nov 02.
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1079 (2024)
With the continuous advancement of the construction of smart cities, the availability of large-scale and semantically enriched datasets is essential for enhancing the machine’s ability to understand urban scenes. Mesh data have a distinct advantage
Externí odkaz:
https://doaj.org/article/815f0c85f38b421eb0149f4ac25ff4fd
Autor:
Mehta, Raghav, Arbel, Tal
Accurate synthesis of a full 3D MR image containing tumours from available MRI (e.g. to replace an image that is currently unavailable or corrupted) would provide a clinician as well as downstream inference methods with important complementary inform
Externí odkaz:
http://arxiv.org/abs/1807.10972
Akademický článek
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Autor:
Gregoretti F; Institute for High Performance Computing and Networking, ICAR-CNR, Naples, Italy. francesco.gregoretti@icar.cnr.it., Lucini F; Istituto Nazionale di Genetica Molecolare 'Romeo ed Enrica Invernizzi', Milan, Italy.; IFOM, Institute Foundation of Molecular Oncology, Milan, Italy., Cesarini E; Institute of Biochemistry and Cellular Biology, IBBC-CNR, Rome, Italy., Oliva G; Institute for High Performance Computing and Networking, ICAR-CNR, Naples, Italy., Lanzuolo C; Istituto Nazionale di Genetica Molecolare 'Romeo ed Enrica Invernizzi', Milan, Italy.; Institute of Biomedical Technologies, ITB-CNR, Milan, Italy., Antonelli L; Institute for High Performance Computing and Networking, ICAR-CNR, Naples, Italy. laura.antonelli@cnr.it.
Publikováno v:
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2655, pp. 147-169.
Publikováno v:
Computers, Materials & Continua. 74:3489-3502
Akademický článek
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Akademický článek
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