Principal views selection based on growing graph convolution network for multi-view 3D model recognition-Reference-Cited by-同舟云学术

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Principal views selection based on growing graph convolution network for multi-view 3D model recognition

Published:2022-06-22 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Liang Qi^ORCID,Li Qiang,Nie Weizhi,Su Yuting

Funder

the National Key Research and Development Program of China

the National Natural Science Foundation of China

the Tianjin New Generation Artificial Intelligence Major Program

the Tianjin Science Foundation for Young Scientists

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03775-y.pdf

Reference66 articles.

1. Song D, Nie W -Z, Li W -H, Kankanhalli M, Liu A -A (2021) Monocular image-based 3-d model retrieval: a benchmark. IEEE Trans Cybern

2. Zhao S, Yao H, Gao Y, Ding G, Chua T (2018) Predicting personalized image emotion perceptions in social networks. IEEE Trans Affect Comput 9(4):526–540

3. Zhou H, Liu A, Nie W, Nie J (2020) Multi-view saliency guided deep neural network for 3-d object retrieval and classification. IEEE Trans Multim 22(6):1496–1506

4. Gao Z, Li Y, Wan S (2020) Exploring deep learning for view-based 3d model retrieval. ACM Trans Multimed Comput Commun Appl 16(1)

5. Osada R, Funkhouser T, Chazelle B, Dobkin D (2002) Shape distributions. ACM Trans Graph 21(4):807–832

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