An FPGA-based MobileNet Accelerator Considering Network Structure Characteristics

2021 31st International Conference on Field-Programmable Logic and Applications (FPL)(2021)

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摘要
Convolutional neural networks (CNNs) have been widely deployed in computer vision tasks. However, the computation and resource intensive characteristics of CNN bring obstacles to its application on embedded systems. MobileNet, as a representative of compact models, can reduce the amount of parameters and computation. A high-performance inference accelerator on FPGA for MobileNet is proposed in thi...
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关键词
Quantization (signal),Embedded systems,Convolution,Graphics processing units,Hardware,Convolutional neural networks,Data communication
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