A Reconfigurable CNN-Based Accelerator Design for Fast and Energy-Efficient Object Detection System on Mobile FPGA

A Reconfigurable CNN-Based Accelerator Design for Fast and Energy-Efficient Object Detection System on Mobile FPGA

In limited-resource edge computing circumstances such as on mobile devices, IoT devices, and electric vehicles, the energy-efficient optimized convolutional neural network (CNN) accelerator implemented on mobile Field Programmable Gate Array (FPGA) is becoming more attractive due to its high accurac...

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Bibliographic Details
Main Authors: Victoria Heekyung Kim, Kyuwon Ken Choi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
FPGA accelerator
CNN accelerator
RT level design techniques
low power techniques
reconfigurable accelerator
CNN-based object detection
Online Access:https://ieeexplore.ieee.org/document/10148988/

Internet

https://ieeexplore.ieee.org/document/10148988/

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