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- W4363649491 abstract "In recent years, with the rapid development of network technology in our country, neural network algorithm is widely recognized and applied to image. U-Net is one of them, which can effectively improve the efficiency of FPGA network hardware utilization, and thus enhance the acceleration system. The main principle of the U-Net is to accelerate the speed of convolutional computation by means of circular flow and circular unfolding, and to improve the performance of the network hardware. In order to learn more about it, this paper will discuss the relevant research." @default.
- W4363649491 created "2023-04-11" @default.
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- W4363649491 date "2023-02-24" @default.
- W4363649491 modified "2023-09-26" @default.
- W4363649491 title "Implementation of FPGA-based hardware acceleration system for U-Net networks" @default.
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- W4363649491 doi "https://doi.org/10.1109/eebda56825.2023.10090536" @default.
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