Automatic generation of retinal optical coherence tomography images based on generative adversarial networks.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15988
Abstract: SIGNIFICANCE The automatic generation algorithm of optical coherence tomography (OCT) images based on Generative Adversarial Networks (GAN) can generate a large amount of simulation images by a relatively small number of real images, which can… read more here.
Keywords: automatic generation; optical coherence; based generative; images based ... See more keywords
Generation of Hospital Emergency Department Layouts Based on Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of building engineering"
DOI: 10.1016/j.jobe.2021.102539
Abstract: Abstract Based on generative adversarial networks (GANs), a type of deep learning model, this paper takes the functional layout of the emergency departments (EDs) of general hospitals as the research object, combines the hierarchical design… read more here.
Keywords: generation; generative adversarial; emergency; adversarial networks ... See more keywords
Exploring hard joints mining via hourglass-based generative adversarial network for human pose estimation
Sign Up to like & getrecommendations! Published in 2019 at "AIP Advances"
DOI: 10.1063/1.5080207
Abstract: Human pose estimation has broad application prospects in the fields of human behavior recognition and human-computer interaction. Although the current human pose estimation methods have made tremendous progress, the partial occlusion of human bodies still… read more here.
Keywords: hard joints; joints mining; human pose; based generative ... See more keywords
Semi-Supervised Learning Based on Generative Adversarial Network and Its Applied to Lithology Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2918366
Abstract: Lithology recognition is an essential part of reservoir parameter prediction. Compared to conventional algorithms, deep learning that needs a large amount of training data as support can extract features automatically. In the process of real… read more here.
Keywords: generative adversarial; lithology recognition; semi supervised; recognition ... See more keywords
Image Inpainting Based on Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2970169
Abstract: Image inpainting aims to fill missing regions of a damaged image with plausibly synthesized content. Existing methods for image inpainting either fill the missing regions by borrowing information from surrounding areas or generating semantically coherent… read more here.
Keywords: image inpainting; inpainting based; image; generator ... See more keywords
A Flow-based Generative Network for Photo-Realistic Virtual Try-On
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3167509
Abstract: Image-based virtual try-on systems aim at transferring the try-on clothes onto a target person. Despite making considerable progress recently, such systems are still highly challenging for real-world applications because of occlusion and drastic spatial deformation.… read more here.
Keywords: network; flow based; try; based generative ... See more keywords
Semisupervised and Weakly Supervised Road Detection Based on Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2809685
Abstract: Road detection is a key component of autonomous driving; however, most fully supervised learning road detection methods suffer from either insufficient training data or high costs of manual annotation. To overcome these problems, we propose… read more here.
Keywords: generative adversarial; adversarial networks; based generative; road ... See more keywords
A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3164391
Abstract: Trajectory planning is essential for self-driving vehicles and has stringent requirements for accuracy and efficiency. The existing trajectory planning methods have limitations in the feasibility of planned trajectories and computational efficiency. This paper proposes a… read more here.
Keywords: trajectory planning; based generative; adversarial networks; generative adversarial ... See more keywords
The Fusion of Unmatched Infrared and Visible Images Based on Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/3739040
Abstract: Visible images contain clear texture information and high spatial resolution but are unreliable under nighttime or ambient occlusion conditions. Infrared images can display target thermal radiation information under day, night, alternative weather, and ambient occlusion… read more here.
Keywords: generative adversarial; information; based generative; adversarial networks ... See more keywords
Short Sequence Chinese-English Machine Translation Based on Generative Adversarial Networks of Emotion
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3385477
Abstract: With the steady growth of the global economy, the communication between countries in the world has become increasingly close. Due to its translation efficiency and other problems, the traditional manual translation has gradually failed to… read more here.
Keywords: machine; based generative; generative adversarial; machine translation ... See more keywords
Self-supervised Time-Frequency Representation based on Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2023 at "GEOPHYSICS"
DOI: 10.1190/geo2022-0212.1
Abstract: Time-frequency (TF) transforms are commonly used to analyze local features of non-stationary seismic data and to help uncover structural or geological information. Traditional TF transforms, such as short-time Fourier transform (STFT), continuous wavelet transform (CWT),… read more here.
Keywords: time frequency; time; representation based; based generative ... See more keywords