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IVS-Caffe - Hardware-Oriented Neural Network Model Development
Chia Chi Tsai,
Jiun In Guo
國立陽明交通大學
電子研究所
研究成果
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引文 斯高帕斯(Scopus)
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Hardware Efficiency
100%
Neural Network Model
100%
Model-driven Development
100%
Caffe
100%
Intelligent Vision Systems
100%
Accurate Model
40%
Hardware Accelerator
40%
Convolutional Neural Network
40%
Mean Average Precision
40%
Bit-width
40%
Single Shot multibox Detector
40%
Low Power Consumption
20%
Convolution Neural Network
20%
Neural Network
20%
12-bit
20%
Development Tools
20%
Convolutional Neural Network Model
20%
Object Detection Algorithm
20%
Output Features
20%
Convolutional Layer
20%
One-stage Object Detection
20%
Network Development
20%
Fully Connected Layer
20%
MobileNet
20%
Neural Network Accelerator
20%
Depthwise Separable Convolution
20%
YOLOv5
20%
Fixed Point Model
20%
Inception Module
20%
Neural Network Inference
20%
Faster R-CNN
20%
Gradient Backpropagation
20%
Two-stage Object Detection
20%
Quantized Model
20%
Computer Science
Convolutional Neural Network
100%
Vision Systems
100%
Neural Network Model
100%
Model Development
100%
Computer Hardware
100%
Hardware Accelerator
60%
Object Detection
40%
Mean Average Precision
40%
Neural Network
20%
Input/Output
20%
Fixed Points
20%
Low Power Consumption
20%
Network Inference
20%
Development Tool
20%
Convolution Layer
20%
Depthwise Separable Convolution
20%
Fully Connected Layer
20%
Engineering
Network Model
100%
Convolutional Neural Network
100%
Hardware Accelerator
60%
Target Model
40%
Low Power Consumption
20%
Fixed Points
20%
Experimental Model
20%
Development Tool
20%