High-order Correlation Network for Video Recognition-Reference-Cited by-同舟云学术

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High-order Correlation Network for Video Recognition

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Dong Wei¹,Wang Zhenwei¹,Zhang Bingbing²,Zhang Jianxin¹,Zhang Qiang³

Affiliation:

1. School of Computer Science and Engineering, Dalian Minzu University,Dalian,China

2. School of Information and Communication Engineering, Dalian University of Technology,Dalian,China

3. School of Computer Science and Technology, Dalian University of Technology,Dalian,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892897.pdf?arnumber=9892897

Reference56 articles.

1. Two-stream convolutional networks for action recognition in videos;simonyan;NIPS,2014

2. Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

3. Bilinear CNN Models for Fine-Grained Visual Recognition

4. Improved Bilinear Pooling with CNNs

5. TSM: Temporal Shift Module for Efficient Video Understanding

Cited by 3 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. CANet: Comprehensive Attention Network for video-based action recognition;Knowledge-Based Systems;2024-07

2. Fine-gained Motion Enhancement for action recognition: Focusing on action-related regions;Displays;2023-12

3. Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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