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1601“.... The model can be converted to the least squares generative adversarial network with an added PWLS objective...”
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1602“...Since generative adversarial network (GAN) was first proposed, the processing of face images...”
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1603“... adversarial network (GANs) model via an algorithm called DeepVision to analyze a significant change...”
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1604“... Adversarial Network (SCGAN) for person re-identification (Re-ID) in camera sensor networks. The proposed SCGAN...”
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1605“... and localization method based on Generative Adversarial Network (GAN) and Edge Wrapping (EW). In training, we use...”
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1606“... and realistic failure data samples. The methodology utilises the conditional generative adversarial network...”
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1607“... the segmentation network and generative adversarial network, using the adversarial training to boost...”
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1608“...-consistent generative adversarial network (CycleGAN) that generates an even distribution of heterogeneous...”
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1609by Da Yin, Zhongzheng Gu, Yanran Zhang, Fengyan Gu, Shouping Nie, Jun Ma, Caojin Yuan“... of object real distribution. The algorithm uses the cycle consistency loss and generative adversarial...”
Published 2020-01-01
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1610Published“... including auto-encoder, convolutional neural networks, and generative adversarial network. First...”
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1611by Derek Reiman, Godhev Kumar Manakkat Vijay, Heping Xu, Andrew Sonin, Dianyu Chen, Nathan Salomonis, Harinder Singh, Aly A Khan“... cell can occupy. Then a generative adversarial network (GAN) is used to simulate pesudocells at regular...”
Published 2021-05-01
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1612“... in the NLP field. In this paper, we propose a conditional sequence generative adversarial network to solve...”
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1613“...碩士 === 國立雲林科技大學 === 資訊工程系 === 107 === In recent years, GAN (Generative Adversarial Network) has...”
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1614“... adversarial network (GAN)-based segmentation method to separate each US image into different image regions...”
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1615“... and combined with the generative adversarial network, named GAN-BLSMOTE. The study sample used 34 patients’s...”
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1616“... for improving the clipping threshold. DP-GAN means the generative adversarial network (GAN) adds noise during...”
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1617by Lakshmi Annamalai, Lakshmi Annamalai, Anirban Chakraborty, Chetan Singh Thakur“... domain with a conditional Generative Adversarial Network (cGAN) made up of sparse submanifold convolution...”
Published 2021-07-01
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1618by Tae-Gu Kim, Byoung-Ju Yun, Tae-Hun Kim, Jae-Young Lee, Kil-Houm Park, Yoosoo Jeong, Hyun Deok Kim“... combination of the super-resolution generative adversarial network (SRGAN) model, and the perspective...”
Published 2021-07-01
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1619“... of transfer learning and use the generative adversarial network (GAN) to increase the training datasets...”
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1620by Feifei Lei, Jieren Cheng, Yue Yang, Xiangyan Tang, Victor S. Sheng, Chunzao Huang“... the generative adversarial network with the weight feature matching method to ensure that the target model learns...”
Published 2021-06-01
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