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Digital Camouflage Generation Based on an Improved CycleGAN Network Model Cover

Digital Camouflage Generation Based on an Improved CycleGAN Network Model

Open Access
|Jul 2024

Figures & Tables

Figure 1.

Structure of CycleGAN
Structure of CycleGAN

Figure 2.

Schematic diagram of SENet
Schematic diagram of SENet

Figure 3.

Diagram of the SE-Resnet module
Diagram of the SE-Resnet module

Figure 4.

Schematic diagram of the attention mechanism for joining channels
Schematic diagram of the attention mechanism for joining channels

Figure 5.

Improving the Generator Network Structure
Improving the Generator Network Structure

Figure 6.

Comparison of Results before and after Adding Color Preservation Loss
Comparison of Results before and after Adding Color Preservation Loss

Figure 7.

Loss Curve Variation Chart
Loss Curve Variation Chart

Figure 8.

Loss Function Change Trend for the Original CycleGAN Model
Loss Function Change Trend for the Original CycleGAN Model

Figure 9.

Loss Function Change Trend for the Improved CycleGAN Model
Loss Function Change Trend for the Improved CycleGAN Model

Figure 10.

Comparison of images generated by different models
Comparison of images generated by different models

Comparative experimental evaluation score table

Generative modelSSIMPSNR
GAN0.1913.5
DRIT0.4814.8
CycleGAN+SENet+improved loss function0.7718.9

Evaluation index table of ablation experiments

ModelSSIMPSNR
CycleGAN0.5015.6

CycleGAN+SENet0.6116.7
CycleGAN+improved loss function0.6815.9
CycleGAN+SENet+improved loss function.0.7718.9
Language: English
Page range: 89 - 99
Published on: Jul 21, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Leixiang Xia, Jun Yu, Kuncai Jiang, Zhiyi Hu, Yunshan Xie, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.