IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision

19 Nov 2019 Hongxing Gao Wei Tao Dongchao Wen Tse-Wei Chen Kinya Osa Masami Kato

Deploying deep models on embedded devices has been a challenging problem since the great success of deep learning based networks. Fixed-point networks, which represent their data with low bits fixed-point and thus give remarkable savings on memory usage, are generally preferred... (read more)

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Methods used in the Paper


METHOD TYPE
Average Pooling
Pooling Operations
Global Average Pooling
Pooling Operations
1x1 Convolution
Convolutions
Max Pooling
Pooling Operations
Softmax
Output Functions
Convolution
Convolutions
Darknet-19
Convolutional Neural Networks
YOLOv2
Object Detection Models
Batch Normalization
Normalization