Low-Cost Network Scheduling of 3D-CNN Processing for Embedded Action Recognition

Low-Cost Network Scheduling of 3D-CNN Processing for Embedded Action Recognition

The recent 3D convolutional neural network (3D-CNN) is a promising candidate for solving the action recognition problem by providing attractive algorithm-level performance. Due to the excessive amount of computational costs, however, it is almost impractical to apply the advanced 3D-CNN architecture...

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Bibliographic Details
Main Authors: Hyunhoon Lee, Young-Seok Kim, Mijung Kim, Youngjoo Lee
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
3D-CNN architecture
action recognition
video analysis
embedded systems
Online Access:https://ieeexplore.ieee.org/document/9448280/

Internet

https://ieeexplore.ieee.org/document/9448280/

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