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  Point Transformer V3: Simpler, Faster, Stronger

Wu, X., Jiang, L., Wang, P.-S., Liu, Z., Liu, X., Qiao, Y., et al. (in press). Point Transformer V3: Simpler, Faster, Stronger. In IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE.

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arXiv:2312.10035.pdf (Preprint), 2MB
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arXiv:2312.10035.pdf
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File downloaded from arXiv at 2024-03-15 11:27 Code available at Pointcept (https://github.com/Pointcept/PointTransformerV3)
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 Creators:
Wu, Xiaoyang1, Author
Jiang, Li2, Author           
Wang, Peng-Shuai1, Author
Liu, Zhijian1, Author
Liu, Xihui1, Author
Qiao, Yu1, Author
Ouyang, Wanli1, Author
He, Tong1, Author
Zhao, Hengshuang1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2023-12-152024
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Wu_CVPR2024
 Degree: -

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Title: 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition
Place of Event: Seattle, WA, USA
Start-/End Date: 2024-06-17 - 2024-06-21

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2024
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
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