A 3D-CNN and LSTM Based Multi-Task Learning Architecture for Action Recognition

A 3D-CNN and LSTM Based Multi-Task Learning Architecture for Action Recognition

Multi-task learning (MTL) is a machine learning method to share knowledge for multiple related machine learning tasks via learning those tasks jointly. It has been shown to be capable of effectively improving the generalization capability of each single task (learning just one task at a time). In th...

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Bibliographic Details
Main Authors: Xi Ouyang, Shuangjie Xu, Chaoyun Zhang, Pan Zhou, Yang Yang, Guanghui Liu, Xuelong Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Action recognition
3D CNN
LSTM
multi-task learning
Online Access:https://ieeexplore.ieee.org/document/8677269/

Internet

https://ieeexplore.ieee.org/document/8677269/

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