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CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition

A.A.M.Muzahid Wanggen Wan Ferdous Sohel Lianyao Wu Li Hou

自动化学报（英文版）2021，Vol.8Issue(6)：1177-1187,11.

自动化学报（英文版）2021，Vol.8Issue(6)：1177-1187,11.DOI:10.1109/JAS.2020.1003324

CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition

A.A.M.Muzahid ¹Wanggen Wan ¹Ferdous Sohel ²Lianyao Wu ¹Li Hou³

作者信息

1. School of Communications and Information Engineering, Institute of Smart City, Shanghai University, Shanghai 200444, China
2. Discipline of Information Technology, Murdoch University, Murdoch WA 6150, Australia
3. School of Information Engineering, Huangshan University, Huangshan 245041, China
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摘要

关键词

3D shape analysis/convolutional neural network/DNNs/object classification/volumetric CNN

Key words

3D shape analysis/convolutional neural network/DNNs/object classification/volumetric CNN

引用本文复制引用

A.A.M.Muzahid,Wanggen Wan,Ferdous Sohel,Lianyao Wu,Li Hou..CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition[J].自动化学报（英文版）,2021,8(6):1177-1187,11.

基金项目

This paper&nbsp （）

was partially supported by a project of the Shanghai Science and Technology&nbsp （）

Committee(18510760300),Anhui Natural Science Foundation&nbsp （18510760300）

(1908085MF178),and Anhui Excellent Young Talents Support Program&nbsp （1908085MF178）

Project(gxyqZD2019069). （gxyqZD2019069）

自动化学报（英文版）

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ISSN：2329-9266

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