Results 31 to 40 of about 12,561,993 (296)
Depth Estimation From a Single RGB Image Using Fine-Tuned Generative Adversarial Network
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
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Image-Translation-Based Road Marking Extraction From Mobile Laser Point Clouds
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
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Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration
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
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Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs
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
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Semi-Supervised Image-to-Image Translation [PDF]
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]
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
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
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Zero-shot Image-to-Image Translation
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
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]
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

