Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA

    Junzhong Shen
    Junzhong Shen
    You Huang
    You Huang

    FPGA, pp. 97-106, 2018.

    Cited by: 23|Bibtex|Views21|Links
    EI

    Abstract:

    Three-dimensional convolutional neural networks (3D CNNs) are used efficiently in many computer vision applications. Most previous work in this area has concentrated only on designing and optimizing accelerators for 2D CNN, with few attempts made to accelerate 3D CNN on FPGA. We find accelerating 3D CNNs on FPGA to be challenge due to the...More

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