Video frame-level CU rapid partitioning algorithm based on DenseNet+FPN network

CHENG Dongliang; ZHANG Yinlong; ZHOU Daoxian; FENG Xuan

doi:10.16136/j.joel.2024.11.0316

Journal of Optoelectronics · Laser, Volume. 35, Issue 11, 1208(2024)

Video frame-level CU rapid partitioning algorithm based on DenseNet+FPN network

CHENG Dongliang^1,2,3,4, ZHANG Yinlong^2,3,4, ZHOU Daoxian^1,2,3,4, and FENG Xuan^2,3,4,5

Author Affiliations

¹School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, Liaoning 110168, China

²State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China

³Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China

⁴Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110169, China

⁵College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China

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CHENG Dongliang, ZHANG Yinlong, ZHOU Daoxian, FENG Xuan. Video frame-level CU rapid partitioning algorithm based on DenseNet+FPN network[J]. Journal of Optoelectronics · Laser, 2024, 35(11): 1208

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Paper Information

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Received: Jun. 15, 2023

Accepted: Dec. 31, 2024

Published Online: Dec. 31, 2024

The Author Email:

DOI:10.16136/j.joel.2024.11.0316

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology