Articles with "generated samples" as a keyword



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Image Creation Based on Transformer and Generative Adversarial Networks

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3213079

Abstract: To address the problem of low authenticity of generated images in existing generative models, the transformer super-resolution generative adversarial network(TransSRGAN) model based on the generative adversarial network is proposed. The generator of the model uses… read more here.

Keywords: network; convolutional neural; generative adversarial; model ... See more keywords
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Few-Shot GAN: Improving the Performance of Intelligent Fault Diagnosis in Severe Data Imbalance

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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3271746

Abstract: In severe data imbalance scenarios, fault samples are generally scarce, challenging the health management of industrial machinery significantly. Generative adversarial network (GAN), a promising solution to solve the data imbalance problem, suffers from a negative… read more here.

Keywords: severe data; fault diagnosis; data imbalance; imbalance ... See more keywords