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Yang Di. Evaluation Method of Camouflage Effect in Dynamic 3D Scenes [Dissertation]. Jiangnan University, 2024. DOI: 10.27169/d.cnki.gwqgu.2023.001844. DiYang Evaluation Method of Camouflage Effect in Dynamic 3D Scenes [Dissertation] Jiangnan University 2024 10.27169/d.cnki.gwqgu.2023.001844 Open DOISearch in Google Scholar

Teng Xu. Research on Digital Camouflage Generation Based on Generative Adversarial Networks [Dissertation]. Southwest University of Science and Technology, 2021. DOI: 10.27415/d.cnki.gxngc.2021.000342. XuTeng Research on Digital Camouflage Generation Based on Generative Adversarial Networks [Dissertation] Southwest University of Science and Technology 2021 10.27415/d.cnki.gxngc.2021.000342 Open DOISearch in Google Scholar

Teng Xu, Zhang Hui, Yang Chunming, Zhao Xujian, Li Bo. Digital Camouflage Disguise Generation Method Based on Cycle-Consistent Adversarial Networks [J]. Computer Applications, 2020, 40(02): 566–570. XuTeng HuiZhang YangChunming ZhaoXujian BoLi Digital Camouflage Disguise Generation Method Based on Cycle-Consistent Adversarial Networks [J] Computer Applications 2020 40 02 566 570 Search in Google Scholar

Luo Li. Research and Application of Adversarial Sample Generation Method Based on CycleGAN [Dissertation]. Guilin University of Electronic Technology, 2023. DOI: 10.27049/d.cnki.ggldc.2023.001423. LiLuo Research and Application of Adversarial Sample Generation Method Based on CycleGAN [Dissertation] Guilin University of Electronic Technology 2023 10.27049/d.cnki.ggldc.2023.001423 Open DOISearch in Google Scholar

Liu, Zunyang et al. “Background dominant colors extraction method based on color image quick fuzzy c-means clustering algorithm.” Defence Technology (2020): n. pag. LiuZunyang “Background dominant colors extraction method based on color image quick fuzzy c-means clustering algorithm.” Defence Technology 2020 n. pag. Search in Google Scholar

Lü Lin. Research and Implementation of Image Translation Algorithm Based on Cycle Generative Adversarial Networks [D]. Shandong University, 2024. DOI: 10.27272/d.cnki.gshdu.2023.002296. Lin Research and Implementation of Image Translation Algorithm Based on Cycle Generative Adversarial Networks [D] Shandong University 2024 10.27272/d.cnki.gshdu.2023.002296 Open DOISearch in Google Scholar

Fu JinHuang Shan. Research on Image Denoising Based on Improved Cycle Generative Adversarial Networks [J]. Computer Engineering and Applications, 2023, 59(17): 178–186. ShanFu JinHuang Research on Image Denoising Based on Improved Cycle Generative Adversarial Networks [J] Computer Engineering and Applications 2023 59 17 178 186 Search in Google Scholar

JHU J, SHEN L, ALBANE S, et al. Squeeze-and-excitation networksL [J]. EEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(8) 2011–2023. JHUJ SHENL ALBANES Squeeze-and-excitation networksL [J] EEE Transactions on Pattern Analysis and Machine Intelligence 2020 42 8 2011 2023 Search in Google Scholar

Li Yongjiang, Yang Zhigang. Image Translation Method Based on Improved CycleGAN [J]. Journal of Harbin University of Commerce (Natural Sciences Edition), 2023, 39(03): 281–286. DOI: 10.19492/j.cnki.1672-0946.2023.03.005. LiYongjiang YangZhigang Image Translation Method Based on Improved CycleGAN [J] Journal of Harbin University of Commerce (Natural Sciences Edition) 2023 39 03 281 286 10.19492/j.cnki.1672-0946.2023.03.005 Open DOISearch in Google Scholar

Li Yongjiang, Yang Zhigang. Image Translation Method Based on Improved CycleGAN [J]. Journal of Harbin University of Commerce (Natural Science Edition), 2023, 39(03): 281–286. DOI: 10.19492/j.cnki.1672-0946.2023.03.005. LiYongjiang YangZhigang Image Translation Method Based on Improved CycleGAN [J] Journal of Harbin University of Commerce (Natural Science Edition) 2023 39 03 281 286 10.19492/j.cnki.1672-0946.2023.03.005 Open DOISearch in Google Scholar

Li. Research on Artistic Image Style Transfer Method Based on Generative Adversarial Networks [D]. Guangdong University of Technology, 2022. DOI: 10.27029/d.cnki.ggdgu.2021.000308. Li Research on Artistic Image Style Transfer Method Based on Generative Adversarial Networks [D] Guangdong University of Technology 2022 10.27029/d.cnki.ggdgu.2021.000308 Open DOISearch in Google Scholar

eISSN:
2470-8038
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, other