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Pix2pix conditional generative adversarial network with mlp loss function for cloud removal in a cropland time series
(2022-01-01)
Clouds are one of the major limitations to crop monitoring using optical satellite images. Despite all efforts to provide decision-makers with high-quality agricultural statistics, there is still a lack of techniques to ...
Self-improving generative artificial neural network for pseudorehearsal incremental class learning
(Algorithms, 2019)
Deep learning models are part of the family of artificial neural networks and, as such, they suffer catastrophic interference when learning sequentially. In addition, the greater number of these models have a rigid ...
Evaluation of sar to optical image translation using conditional generative adversarial network for cloud removal in a crop dataset
(2021-06-28)
Most methods developed to map crop fields with high-quality are based on optical image time-series. However, often accuracy of these approaches is deteriorated due to clouds and cloud shadows, which can decrease the availably ...
An application of generative adversarial networks to improve automatic inspection in automotive assembly lines
(Universidade Tecnológica Federal do ParanáPato BrancoBrasilPrograma de Pós-Graduação em Engenharia ElétricaUTFPR, 2022-03-14)
In manufacturing systems, quality inspection is a critical issue. This can be performed by humans,or by means of Computer Vision Systems ( CVS), which are trained using representative sets of images, modeling classes of ...
Synthesizing realistic human dance motions conditioned by musical data using graph convolutional networks
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃOPrograma de Pós-Graduação em Ciência da ComputaçãoUFMG, 2020-10-30)
A síntese de movimento humano utilizando técnicas de aprendizado de máquina tem se tornado cada vez mais promissora para reduzir a necessidade de captura de dados para a produção de animações. Aprender a mover-se de maneira ...
Exploring symbolic music generation techniques using conditional generative adversarial networks
(2021)
Los modelos generativos se han convertido en un área de gran importancia en los
últimos tiempos, debido a su capacidad para aprender una distribución probabilística de
los datos de entrada. Actualmente estos modelos han ...
Data augmentation using generative adversarial network for gastrointestinal parasite microscopy image classification
(Universidad Nacional de San Agustín de ArequipaPE, 2021)
Las enfermedades parasitarias gastrointestinales representan un problema latente en los países en desarrollo; es necesario crear herramientas de apoyo para el diagnóstico médico de estas enfermedades, se requiere automatizar ...
Synthesis of normal and abnormal heart sounds using Generative Adversarial Networks
(Universidad del NorteDoctorado en Ingeniería Eléctrica y ElectrónicaDepartamento de eléctrica y electrónicaBarranquilla, Colombia, 2023)
Improving astronomical time-series classification via data augmentation with generative adversarial networks
(Universidad de Chile, 2022)
Debido a los últimos avances de la tecnología, telescopios que cubren amplias zonas del cielo producirán millones de alertas astronómicas por noche que deberán ser clasificadas de forma rápida y automática. Actualmente, ...
Generacion de datos fotométricos artificiales de estrellas variables con Boostrapped GAN
(Universidad Andrés Bello, 2022)
The analysis of astronomical data has made it possible to obtain multiple advances in the
understanding of the universe. In astronomy, for example, light curves allow the stars to be
characterized, allowing them to be ...