Results 21 to 30 of about 1,260,916 (317)
Deep Fake Image Detection Based on Pairwise Learning
Applied Sciences, 2020 Generative adversarial networks (GANs) can be used to generate a photo-realistic image from a low-dimension random noise. Such a synthesized (fake) image with inappropriate content can be used on social media networks, which can cause severe problems ...
Chih-Chung Hsu +2 more
doaj +1 more source
Конденсированные среды и межфазные границы, 2022 This review covers studies dedicated to the search for and development of sorbents for the extraction of the caesium-137. The review analyses a new method for growing SiC epitaxial films on Si, which is based on the coordinated substitution ...
Sergey A. Kukushkin, Andrey V. Osipov
doaj +1 more source
PD-GAN: Probabilistic Diverse GAN for Image Inpainting [PDF]
Computer Vision and Pattern Recognition, 2021 We propose PD-GAN, a probabilistic diverse GAN for image inpainting. Given an input image with arbitrary hole regions, PD-GAN produces multiple inpainting results with diverse and visually realistic content.
Hongyu Liu +5 more
semanticscholar +1 more source
Ultra-wide-field Fundus Image Synthesis Using Various GAN Models
JOIV: International Journal on Informatics Visualization, 2022 Many people lose sight due to diabetic retinopathy. The reason that diabetic retinopathy is dangerous is that it cannot return to its pre-onset state after the disease's onset. Most patients take fundus images that capture the retina, and the doctor uses
Ara Ko, Jungwon Cho
doaj +1 more source
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints [PDF]
Computer Vision and Pattern Recognition, 2018 This paper addresses the problem of path prediction for multiple interacting agents in a scene, which is a crucial step for many autonomous platforms such as self-driving cars and social robots.
Amir Sadeghian +4 more
semanticscholar +1 more source
Improved InGaN/GaN light-emitting diodes with a p-GaN/n-GaN/p-GaN/n-GaN/p-GaN current-spreading layer [PDF]
Optics Express, 2013 This work reports both experimental and theoretical studies on the InGaN/GaN light-emitting diodes (LEDs) with optical output power and external quantum efficiency (EQE) levels substantially enhanced by incorporating p-GaN/n-GaN/p-GaN/n-GaN/p-GaN (PNPNP-GaN) current spreading layers in p-GaN.
Zhang, Z.-H. +9 more
openaire +5 more sources
Polarization effects in AlGaN/GaN and GaN/AlGaN/GaN heterostructures [PDF]
Journal of Applied Physics, 2003 The influence of AlGaN and GaN cap layer thickness on Hall sheet carrier density and mobility was investigated for Al0.32Ga0.68N/GaN and GaN/Al0.32Ga0.68N/GaN heterostructures deposited on sapphire substrates. The sheet carrier density was found to increase and saturate with the AlGaN layer thickness, while for the GaN-capped structures it decreased ...
Heikman, S +5 more
openaire +2 more sources
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning [PDF]
Conference on Computer and Communications Security, 2017 Deep Learning has recently become hugely popular in machine learning for its ability to solve end-to-end learning systems, in which the features and the classifiers are learned simultaneously, providing significant improvements in classification accuracy
B. Hitaj, G. Ateniese, F. Pérez-Cruz
semanticscholar +1 more source
IJAIN (International Journal of Advances in Intelligent Informatics), 2020 The image forgery process can be simply defined as inserting some objects of different sizes to vanish some structures or scenes. Satellite images can be forged in many ways, such as copy-paste, copy-move, and splicing processes.
Mohamed Mahmoud Fouad +2 more
doaj +1 more source
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis [PDF]
Computer Vision and Pattern Recognition, 2019 In this paper, we focus on generating realistic images from text descriptions. Current methods first generate an initial image with rough shape and color, and then refine the initial image to a high-resolution one.
Minfeng Zhu +3 more
semanticscholar +1 more source