HybridHR-Net: Action Recognition in Video Sequences Using Optimal Deep Learning Fusion Assisted Framework

Computer Science

• Action Recognition 100%
• Optimal Deep Learning 100%
• human action recognition 100%
• Video Sequences 100%
• Machine Learning 50%
• Learning System 50%
• Leaning Parameter 50%
• Feature Extraction 50%
• Feature Selection 50%
• Deep Learning Model 50%
• Video Surveillance 50%
• Average Pooling 50%
• Deep Transfer Learning 50%
• Deep Convolutional Neural Networks 50%
• Artificial Bee Colony 50%
• Fully Connected Layer 50%
• Essential Feature 50%
• Computer Vision Applications 50%
• Spatial Information 50%