Attention-based 3D convolutional networks-Reference-Cited by-同舟云学术

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Attention-based 3D convolutional networks

Published:2022-02-13 Issue:1 Volume:35 Page:93-108
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Ding Enjie¹,Xu Dawei¹^ORCID,Zhao Yingfei¹,Liu Zhongyu¹,Liu Yafeng¹^ORCID

Affiliation:

1. Internet of Things Research Center, China University of Mining and Technology, Xuzhou, China

Funder

National Key Research and Development Plan

the Natural Science Funds of Jiangsu Province of China

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2021.1960625

Reference37 articles.

1. A Database and Evaluation Methodology for Optical Flow

2. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

3. Evaluation of Uniform and Non-uniform Optical Flow Techniques Using Finite Element Methods

4. Deep-Temporal LSTM for Daily Living Action Recognition

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing driver fatigue detection in diverse lighting conditions for assisted driving vehicles with enhanced facial recognition technologies;PLOS ONE;2024-07-10

2. Video Based 3D Convolution Network for Air Quality Assessment;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17

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