Spatialoral Graph Convolutional Networks for Action Recognition with Adjacency Matrix Generation Network

被引：0

作者：

Niu, Junyu ^{[1
]}

Yang, Rong ^{[1
]}

Guan, Wang ^{[1
]}

Xie, Zijie ^{[1
]}

机构：

[1] Shenzhen University, College of Mechatronics and Control Engineering, Shenzhen, China

来源：

Proceedings - 2021 2nd International Conference on Electronics, Communications and Information Technology, CECIT 2021 | 2021年

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Action recognition - Adaptive methods - Adjacency matrix - Convolutional networks - Graph adjacency matrices - Graph convolutional network - Human joints - Neural-networks - Performance - Physical connections

引用

页码：1150 / 1154

共 8 条

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Lee, Jungho
Lee, Minhyeok
Lee, Dogyoon
Lee, Sangyoun
arXiv, 2022,
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Xing, Hao
Burschka, Darius
arXiv, 2022,
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Zhang, Xiongwei
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SSRN, 2022,
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Elovici, Yuval
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Li, Boyu
He, Kun
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Tateyama, Tomoko
Iwamoto, Yutaro
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[7] Fu-W:A Hyperspectral Image Classification Algorithm Combining Mini Graph Convolutional Networks and Convolutional neural network
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Liu, Kun
Yuan, Hao
Wang, Can
Yang, Bo
ACM International Conference Proceeding Series, 2023, : 377 - 383
[8] An improved memristor-based 3D Convolutional Neural Network for action recognition
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Li, Ke
Shen, Siyuan
Duan, Shukai
Proceedings of SPIE - The International Society for Optical Engineering, 2023, 12707

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