OSAGGAN: one-shot unsupervised image-to-image translation using attention-guided generative adversarial networks

Xiaofei Huo; Bin Jiang; Haotian Hu; Xinjiao Zhou; Bolin Zhang

doi:10.1007/s13042-023-01844-3

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OSAGGAN: one-shot unsupervised image-to-image translation using attention-guided generative adversarial networks

Xiaofei Huo Bin Jiang Haotian Hu Xinjiao Zhou Bolin Zhang

Year: 2023 Journal: International Journal of Machine Learning and Cybernetics Vol: 14 (10)Pages: 3471-3482 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-023-01844-3

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Keywords:

Computer science Image translation Artificial intelligence Image (mathematics) Translation (biology) Generator (circuit theory) Pyramid (geometry) Computer vision Domain (mathematical analysis) Process (computing) Benchmark (surveying) Pattern recognition (psychology) Image quality Margin (machine learning) Scale (ratio) Machine learning Mathematics

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Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

OSAGGAN: one-shot unsupervised image-to-image translation using attention-guided generative adversarial networks

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