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A Scalable Parameterized OpenCL-Defined Accelerator Architecture for Efficient Convolutional Neural Network (CNN) Inference on FPGAs

Background Convolutional neural networks (CNNs) are a class of deep neural network known for their superior extraction capability of shift/space invariant local features critical for high-level cognition tasks. CNNs are widely applied in image/video processing and computer vision tasks, including image/video recognition, object detection, and semantic...

Published: 2/23/2023 | Inventor(s): Akshay Dua, Fengbo Ren

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Category(s): Physical Science, Computing & Information Technology, Imaging