Webly supervised 3D shape recognition

Author:

Yang Xizhong,Guo QiORCID,Chen Wenbin,Song Mofei

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference40 articles.

1. A survey on deep geometry learning: From a representation perspective;Xiao;Comput. Vis. Media,2020

2. Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, J. Xiao, 3d shapenets: A deep representation for volumetric shapes, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 1912–1920.

3. K. Mo, S. Zhu, A.X. Chang, L. Yi, S. Tripathi, L.J. Guibas, H. Su, Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 909–918.

4. Shapenet: An information-rich 3d model repository;Chang,2015

5. Artificial intelligence-based robust hybrid algorithm design and implementation for real-time detection of plant diseases in agricultural environments;Yağ;Biology,2022

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