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The search expression was <related:sid.inpe.br/sibgrapi/2020/09.30.13.05.44-0:en:title:2:generative networks are adversarial:why are generative adversarial networks so fascinating annoying:>.
3 similar references found (including the original one).
Search local date and time: 25/01/2022 03:02.
FariaCarn:2020:WhArGe
id 8JMKD3MGPEW34M/43BFBQE    Conference Paper    (1.00)    -m-
Faria, F. A. & Carneiro, G. :2020:
Why are Generative Adversarial Networks so Fascinating and Annoying?
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<sid.inpe.br/sibgrapi/2020/09.30.13.05> (8634 KiB) statistics | access | download | update
BezerraLaLuSeOlBrMe:2018:RoIrSe
id 8JMKD3MGPAW/3RPB5DL    Conference Paper    (0.35)    -m-
Bezerra, C., et al. :2018:
Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks
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<sid.inpe.br/sibgrapi/2018/09.04.00.21> (2853 KiB) statistics | access | download
AlmeidaPerRenCavSij:2021:ApDeLo
id 8JMKD3MGPEW34M/45D2P52    Conference Paper    (0.15)    -m-
Almeida, M. B., et al. :2021:
The gated recurrent conditional generative adversarial network (GRC-GAN): application to denoising of low-dose CT images
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<sid.inpe.br/sibgrapi/2021/09.07.03.09> (1700 KiB) statistics | access | download | update
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