Cross-spectral human behavior recognition based on deep convolutional networks for global temporal representation-Reference-Cited by-同舟云学术

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Cross-spectral human behavior recognition based on deep convolutional networks for global temporal representation

Published:2022-07-26 Issue:01 Volume:32 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Yu Xiaomo¹,Zhou Xiaomeng¹,Li Wenjing¹,Liu Xinquan¹,Song Peihua¹

Affiliation:

1. Nanning Normal University, Department of Logistics Management and Engineering, Nanning, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference24 articles.

1. Transductive Zero-Shot Action Recognition by Word-Vector Embedding

2. A global manifold margin learning method for data feature extraction and classification

3. Deep convolutional networks with residual learning for accurate spectral-spatial denoising

4. Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

5. Removing Stripe Noise From Infrared Cloud Images via Deep Convolutional Networks

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