Deep Neural Networks Using Residual Fast-Slow Refined Highway and Global Atomic Spatial Attention for Action Recognition and Detection

Deep Neural Networks Using Residual Fast-Slow Refined Highway and Global Atomic Spatial Attention for Action Recognition and Detection

In this work, we propose two Deep Neural Networks, DNN-1 and DNN-2, based on residual Fast-Slow Refined Highway (FSRH) and Global Atomic Spatial Attention (GASA) to effectively recognize and detect actions. The proposed DNN-1 includes a 3D Convolutional Neural Network (3DCNN), Residual FSRH (R&#...

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Bibliographic Details
Main Authors: Manh-Hung Ha, Oscal Tzyh-Chiang Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
3D CNN
inception network
highway network
residual network
attention mechanism
action recognition
Online Access:https://ieeexplore.ieee.org/document/9646928/

Internet

https://ieeexplore.ieee.org/document/9646928/

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