A DAC-CLGD-Danet network based method for defaced image segmentation

A DAC-CLGD-Danet network based method for defaced image segmentation

Based on the problems of high noise, lower contrast, and complex features in defaced images and the low accuracy of existing defaced image segmentation techniques, this paper proposes a defaced image segmentation algorithm based on DAC-CLGD-Danet. Firstly, a CBDNet asymmetric blind denoising network...

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Bibliographic Details
Main Authors: Pengbo Li, Gang Li, Yibin He, Ling Zhang, Yuanjin Sun, Fayun Guo
Format: Article
Language:English
Published: Tsinghua University Press 2022-09-01
Series:Intelligent and Converged Networks
Subjects:
image segmentation
danet
deep learning
neural networks
defaced images
Online Access:https://www.sciopen.com/article/10.23919/ICN.2022.0022

Internet

https://www.sciopen.com/article/10.23919/ICN.2022.0022

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