Model Compression via Structural Pruning and Feature Distillation for Accurate Multi-Spectral Object Detection on Edge-Devices

Keyphrases

• Structural Features 100%
• Edge Devices 100%
• Model Compression 100%
• Structured Pruning 100%
• Multispectral Object Detection 100%
• Feature Distillation 100%
• Infrared Wavelength 66%
• Neural Architecture Search 66%
• Infrared Object Detection 66%
• Object Detector 33%
• Model Accuracy 33%
• Object Detection 33%
• Challenging Tasks 33%
• Real-time Detection 33%
• Hardware Constraints 33%
• Infrared Detection 33%
• Object Detection Algorithm 33%
• Model Generalization 33%
• Detection Network 33%
• Practical Requirements 33%
• Object Detection Dataset 33%
• SPNet 33%
• Real-time Inference 33%
• YOLOv4 33%

Computer Science

• Object Detection 100%
• Model Compression 100%
• Neural Architecture Search 33%
• Object Detector 16%
• Model Accuracy 16%
• Computer Hardware 16%
• YOLOv4 16%