Real-Time Human Action Recognition by using R(2+1)D Convolutional Neural Network
Author:
Affiliation:
1. Vellore Institute of Technology,School of Electronics Engineering,Vellore,632014
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574534/10574536/10574741.pdf?arnumber=10574741
Reference24 articles.
1. Optimum Resource Utilization for the Implementation of FPGA-based Fast Convolutional Algorithms for CNN Modelling
2. Enhanced Efficiency 3D Convolution Based on Optimal FPGA Accelerator
3. Deep Learning Serves Voice Cloning: How Vulnerable Are Automatic Speaker Verification Systems to Spoofing Trials?
4. 3D-CNN-Based Fused Feature Maps with LSTM Applied to Action Recognition
5. Action Recognition with Improved Trajectories
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