Results 31 to 40 of about 12,561,993 (296)

Depth Estimation From a Single RGB Image Using Fine-Tuned Generative Adversarial Network

open access: yesIEEE Access, 2021
Estimating the depth map from a single RGB image is important to understand the nature of the terrain in robot navigation and has attracted considerable attention in the past decade. The existing approaches can accurately estimate the depth from a single
Naeem Ul Islam, Jaebyung Park
doaj   +1 more source

Image-Translation-Based Road Marking Extraction From Mobile Laser Point Clouds

open access: yesIEEE Access, 2020
Road markings are one of the most important safety elements in a road network, and they play a critical role in traffic safety. However, the automatic extraction of road markings remains a technical challenge in the fields of smart city construction and ...
Lirong Liu   +6 more
doaj   +1 more source

Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration

open access: yesFrontiers in Neuroinformatics, 2022
Biomedical image registration refers to aligning corresponding anatomical structures among different images, which is critical to many tasks, such as brain atlas building, tumor growth monitoring, and image fusion-based medical diagnosis.
Tingting Han   +7 more
doaj   +1 more source

Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs

open access: yesRemote Sensing, 2023
Synthetic aperture radar (SAR) provides an all-weather and all-time imaging platform, which is more reliable than electro-optical (EO) remote sensing imagery under extreme weather/lighting conditions.
Yuanyuan Qing   +4 more
doaj   +1 more source

Semi-Supervised Image-to-Image Translation [PDF]

open access: yes2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), 2019
Image-to-image translation is a long-established and a difficult problem in computer vision. In this paper we propose an adversarial based model for image-to-image translation. The regular deep neural-network based methods perform the task of image-to-image translation by comparing gram matrices and using image segmentation which requires human ...
Manan Oza   +2 more
openaire   +3 more sources

The national image of global brands [PDF]

open access: yes, 2002
As the Chinese use characters based on ideograms, international brands have to choose a proper Chinese name for the market. This paper presents the findings from a detailed study of the Chinese names of 100 international brands along three dimensions ...
Fan, Y
core   +1 more source

Synthetic Data Generation Based on RDB-CycleGAN for Industrial Object Detection

open access: yesMathematics, 2023
Deep learning-based methods have demonstrated remarkable success in object detection tasks when abundant training data are available. However, in the industrial domain, acquiring a sufficient amount of training data has been a challenge.
Jiwei Hu   +4 more
doaj   +1 more source

Zero-shot Image-to-Image Translation

open access: yesSpecial Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings, 2023
website: https://pix2pixzero.github.io/
Gaurav Parmar   +5 more
openaire   +4 more sources

Method for Generating Panoramic Textures for 3D Face Reconstruction Based on the 3D Morphable Model

open access: yesApplied Sciences, 2022
Three-dimensional (3D) reconstruction techniques are playing an increasingly important role in education and entertainment. Real and recognizable avatars can enhance the immersion and interactivity of virtual systems. In 3D face modeling technology, face
Shujia Hao, Mingyun Wen, Kyungeun Cho
doaj   +1 more source

Combining data-driven MT systems for improved sign language translation [PDF]

open access: yes, 2007
In this paper, we investigate the feasibility of combining two data-driven machine translation (MT) systems for the translation of sign languages (SLs).
Morrissey, Sara   +4 more
core   +3 more sources

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