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1901“... traditional data augmentation and data augmentation based on oversampling and generative adversarial networks....”
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1902“... and translation, the lesion images were fed into the activation reconstruction generative adversarial networks...”
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1903“.... The presented survey shows that recent works on Memory Networks, Generative Adversarial Networks, and Reinforced...”
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1904“... in their convolutional neural networks-based/generative adversarial networks-based models, from which image details...”
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1905“...Numerous face frontalization methods based on 3D Morphable Model (3DMM) and Generative Adversarial...”
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1906“... Convolution Generative Adversarial Networks and a Variational Autoencoder. Given the significant structural...”
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1907“... class-conditional generative adversarial networks. As such, the generated data will not resemble any...”
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1908“... of this thesis is aimed to develop a kind of generative adversarial networks (GANs) to generate artificial depth...”
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1911by Bau, David, Zhu, Jun-Yan, Wulff, Jonas, Peebles, William, Strobelt, Hendrik, Torralba, AntonioGet fulltext
Published 2021
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1913by Hi, Qi,S.M.Massachusetts Institute of Technology.“...-person linear model (SMPL) model by the generative adversarial networks (GANs). The 3D facial...”
Published 2020
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1914“... Adversarial Networks. In this work we present a method to simulate data samples possible to record...”
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1915by Chapman John, Cranmer Kyle, Gadatsch Stefan, Golling Tobias, Ghosh Aishik, Gray Heather M., Lari Tommaso, Pascuzzi Vincent R., Raine John A., Rousseau David, Salamani Dalila, Schaarschmidt Jana“..., using Variational Auto-Encoders (VAEs) or Generative Adversarial Networks (GANs), are trained to model...”
Published 2020-01-01
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1916“... constraints. Conditional Generative Adversarial Networks (CGAN) can generate artificial samples of a specific...”
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1917“... scenario is used to verify the proposed unit and model. By adding MSRU into Generative Adversarial Networks...”
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1918“... unsupervised learning for most of the training dataset generation, making heavy use of generative adversarial...”
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1919by Hiroki Mizuochi, Yoshihiro Iijima, Hirohiko Nagano, Ayumi Kotani, Tetsuya Hiyama“... landscape in eastern Siberia. A combination of random forest and conditional generative adversarial networks...”
Published 2021-01-01
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1920by George Dimas, Dimitris E. Diamantis, Panagiotis Kalozoumis, Dimitris K. Iakovidis“... prediction using Generative Adversarial Networks. An uncertainty-aware modeling of the obstacle risk...”
Published 2020-04-01
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