Ensembled Transfer Learning Based Multichannel Attention Networks for Human Activity Recognition in Still Images

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Bibliographic Details
Published in:IEEE Access Vol. 10; pp. 47051 - 47062
Main Authors: Koki Hirooka, Md. Al Mehedi Hasan, Jungpil Shin, Azmain Yakin Srizon
Format: Journal Article
Language:Japanese
Published: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2022
Subjects:
Action Recognition
Artificial intelligence
Channel (broadcasting)
Computer network
Computer science
Computer Vision and Pattern Recognition
Convolutional neural network
Deep learning
Deep Learning in Computer Vision and Image Recognition
Electrical engineering. Electronics. Nuclear engineering
ensembling
Feature (linguistics)
Feature extraction
Foreground Segmentation
FOS: Languages and literature
FOS: Philosophy, ethics and religion
Human Action Recognition and Pose Estimation
Human Activity Analysis
Human activity recognition
InceptionResnetV2
InceptionV3
Linguistics
Machine learning
Margin (machine learning)
Motion Detection
multi-channel attention module
Multiple Object Tracking
Pattern recognition (psychology)
Philosophy
Physical Sciences
TK1-9971
Transfer of learning
Visual Object Tracking and Person Re-identification
Xception
ISSN:2169-3536
Online Access:Get full text
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ISSN:2169-3536
DOI:10.60692/xa489-zdz82