Lightweight Deep Neural Network Embedded with Stochastic Variational Inference Loss Function for Fast Detection of Human Postures

Keyphrases

• Loss Function 100%
• Human Detection 100%
• Network Embedding 100%
• Fast Detection 100%
• Body Posture 100%
• Lightweight Deep Neural Network 100%
• Stochastic Variational Inference 100%
• Model Size 66%
• Inference Speed 66%
• Neural Network Model 33%
• Computational Complexity 33%
• Gaussian Mixture Model 33%
• Centroid 33%
• U-Net 33%
• Lightweight Neural Network 33%
• Small Objects 33%
• Human Motion 33%
• Feature Pyramid Network 33%
• Bayesian Neural Network 33%
• Mean Average Precision 33%
• Bounding Box 33%
• Centroid Coordinates 33%
• Self-attention Mechanism 33%
• Human Posture Recognition 33%
• Object Detection Algorithm 33%
• Probabilistic Maps 33%
• Motion Frames 33%
• Human Posture Classification 33%
• Integer Arithmetic 33%

Computer Science

• Computational Complexity 100%
• Neural Network 100%
• Gaussian Mixture Model 100%
• Neural Network Model 100%
• Residual Neural Network 100%
• Baseline Model 100%
• Human Motions 100%
• Object Detection 100%
• Mean Average Precision 100%
• Self-Attention Mechanism 100%
• Deep Neural Network 100%

Engineering

• Network Model 100%
• Computational Complexity 100%
• Gaussian Mixture Model 100%
• Detection Technique 100%
• Loss Function 100%
• Millisecond 100%
• Bounding Box 100%
• Deep Neural Network 100%
• Human Motions 100%