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:>.
4 similar references found (including the original one). Search local date and time: 15/03/2025 01:25. |
FariaCarn:2020:WhArGe Faria, F. A. & Carneiro, G. :2020: Why are Generative Adversarial Networks so Fascinating and Annoying? ![]() metadata (BibTeX ❘ Refer ❘ How to cite? ❘ XML ❘ xrefer ❘ oai_dc ❘ Cover) |
BezerraLaLuSeOlBrMe:2018:RoIrSe Bezerra, C., et al. :2018: Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks ![]() metadata (BibTeX ❘ Refer ❘ How to cite? ❘ XML ❘ xrefer ❘ oai_dc ❘ Cover) |
SouzaMarqGois:2022:FuChGe Souza, V. L. T.; Marques, B. A. D. & Gois, J. P. :2022: Fundamentals and Challenges of Generative Adversarial Networks for Image-based Applications ![]() metadata (BibTeX ❘ Refer ❘ How to cite? ❘ XML ❘ xrefer ❘ oai_dc ❘ Cover) |
AlmeidaPerRenCavSij:2021:ApDeLo Almeida, M. B., et al. :2021: The gated recurrent conditional generative adversarial network (GRC-GAN): application to denoising of low-dose CT images ![]() metadata (BibTeX ❘ Refer ❘ How to cite? ❘ XML ❘ xrefer ❘ oai_dc ❘ Cover) |