PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones

5 Dec 2019 Gang Chen Shengyu He Haitao Meng Kai Huang

Over the last years, a great success of deep neural networks (DNNs) has been witnessed in computer vision and other fields. However, performance and power constraints make it still challenging to deploy DNNs on mobile devices due to their high computational complexity... (read more)

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Methods used in the Paper


METHOD TYPE
VGG
Convolutional Neural Networks
Average Pooling
Pooling Operations
Global Average Pooling
Pooling Operations
1x1 Convolution
Convolutions
Batch Normalization
Normalization
Convolution
Convolutions
Darknet-19
Convolutional Neural Networks
Local Response Normalization
Normalization
Grouped Convolution
Convolutions
ReLU
Activation Functions
Dropout
Regularization
Dense Connections
Feedforward Networks
Max Pooling
Pooling Operations
Softmax
Output Functions
YOLOv2
Object Detection Models
AlexNet
Convolutional Neural Networks