Degradable inference for energy autonomous vision applications

INIS

• accuracy 20%
• applications 100%
• augmentation 20%
• cost 20%
• design 40%
• energy 100%
• energy consumption 20%
• lifetime 20%
• neural networks 20%
• performance 40%
• pipelines 40%
• safety 20%
• security 20%
• solutions 20%
• surveillance 20%
• transformations 20%
• vision 100%
• wildlife 20%

Engineering

• Accident Prevention 50%
• Battery (Electrochemical Energy Engineering) 50%
• Compute 50%
• Design 100%
• Energy Engineering 100%
• Minimum Energy 50%
• Pipeline 100%
• Real World 50%
• Recognition Accuracy 50%

Computer Science

• Communication Cost 25%
• Computing 50%
• Deep Neural Network 25%
• Recognition Performance 50%
• Transformations 25%
• Vision Systems 100%