A Power-Efficient Optimizing Framework FPGA Accelerator Based on Winograd for YOLO

A Power-Efficient Optimizing Framework FPGA Accelerator Based on Winograd for YOLO

Accelerating deep learning networks in edge computing based on power-efficient and highly parallel FPGA platforms is an important goal. Combined with deep learning theory, an accelerator design method based on the Winograd algorithm for the deep learning object detection model YOLO under the PYNQ ar...

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Bibliographic Details
Main Authors: Chun Bao, Tao Xie, Wenbin Feng, Le Chang, Chongchong Yu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
FPGA
deep learning
Winograd
YOLO
buffer pipeline
Online Access:https://ieeexplore.ieee.org/document/9094705/

Internet

https://ieeexplore.ieee.org/document/9094705/

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