Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA
FPGA, pp. 97-106, 2018.
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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