Segment spatial-temporal representation and cooperative learning of Convolution Neural Networks for multimodal-based action recognition

2020 ◽  
Author(s):  
Ziliang Ren ◽  
Qieshi Zhang ◽  
Jun Cheng ◽  
Fusheng Hao ◽  
Xiangyang Gao
Keyword(s):  
Neural Networks ◽  
Cooperative Learning ◽  
Action Recognition ◽  
Convolution Neural Networks ◽  
Temporal Representation

Ensemble One-Dimensional Convolution Neural Networks for Skeleton-Based Action Recognition

2018 ◽  
Vol 25 (7) ◽  
pp. 1044-1048 ◽  
Author(s):  
Yangyang Xu ◽  
Jun Cheng ◽  
Lei Wang ◽  
Haiying Xia ◽  
Feng Liu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Action Recognition ◽  
One Dimensional ◽  
Convolution Neural Networks

scholarly journals Joint learning of convolution neural networks for RGB-D-based human action recognition

2020 ◽  
Vol 56 (21) ◽  
pp. 1112-1115
Author(s):  
Ziliang Ren ◽  
Qieshi Zhang ◽  
Piye Qiao ◽  
Maolong Niu ◽  
Xiangyang Gao ◽  
...  
Keyword(s):  
Neural Networks ◽  
Action Recognition ◽  
Human Action Recognition ◽  
Human Action ◽  
Joint Learning ◽  
Convolution Neural Networks

Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition

2021 ◽  
pp. 15-27
Author(s):  
Changxiang He ◽  
Chen Xiao ◽  
Shuting Liu ◽  
Xiaofei Qin ◽  
Ying Zhao ◽  
...  
Keyword(s):  
Neural Networks ◽  
Action Recognition ◽  
Convolution Neural Networks

The machine training in problems of satellite images’s processing

Metrologiya ◽  
2020 ◽  
pp. 15-37
Author(s):  
L. P. Bass ◽  
Yu. A. Plastinin ◽  
I. Yu. Skryabysheva
Keyword(s):  
Remote Sensing ◽  
Neural Networks ◽  
Computer Vision ◽  
Satellite Images ◽  
Vision Systems ◽  
Earth Remote Sensing ◽  
Practical Applications ◽  
Convolution Neural Networks ◽  
Computer Vision Systems ◽  
Trained Neural Network

Use of the technical (computer) vision systems for Earth remote sensing is considered. An overview of software and hardware used in computer vision systems for processing satellite images is submitted. Algorithmic methods of the data processing with use of the trained neural network are described. Examples of the algorithmic processing of satellite images by means of artificial convolution neural networks are given. Ways of accuracy increase of satellite images recognition are defined. Practical applications of convolution neural networks onboard microsatellites for Earth remote sensing are presented.

A Novel Approach for Image Super Resolution Problems with Convolution Neural Networks

2017 ◽  
Vol 6 (4) ◽  
pp. 15
Author(s):  
JANARDHAN CHIDADALA ◽  
RAMANAIAH K.V. ◽  
BABULU K ◽  
◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Super Resolution ◽  
Convolution Neural Networks ◽  
Novel Approach ◽  
Image Super Resolution
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