Results 11 to 20 of about 3,018,272 (257)
Hypercomplex Image- to- Image Translation
2022 International Joint Conference on Neural Networks (IJCNN), 2022 Image-to-image translation (I2I) aims at transferring the content representation from an input domain to an output one, bouncing along different target domains. Recent I2I generative models, which gain outstanding results in this task, comprise a set of diverse deep networks each with tens of million parameters.
Eleonora Grassucci +3 more
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POTENTIAL OF MOBILE MAPPING TO CREATE DIGITAL TWINS OF FORESTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Forests are irreplaceable and are being studied extensively. Better forest inventory and understanding necessitate effective mapping, modeling, and automatic analysis.
D. Iwaszczuk +4 more
doaj +1 more source
Image-to-Image MLP-mixer for Image Reconstruction
CoRR, 2022 Neural networks are highly effective tools for image reconstruction problems such as denoising and compressive sensing. To date, neural networks for image reconstruction are almost exclusively convolutional. The most popular architecture is the U-Net, a convolutional network with a multi-resolution architecture.
Youssef Mansour +2 more
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Retinal Imaging and Image Analysis [PDF]
IEEE Reviews in Biomedical Engineering, 2010 Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age ...
Abramoff, M.D. +2 more
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Heliyon, 2021 Background: Vascular intracranial stenosis (IS) is a significant cause of acute ischemic stroke (AIS). This single-center study aims to show that symptomatic IS treatment by using the Neuroform Atlas stent (Stryker neurovascular, Kalamazoo, MI, USA ...
Orazio Buonomo +10 more
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BACKPACK SYSTEM FOR CAPTURING 3D POINT CLOUDS OF FORESTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 A 3D model can be useful for inventory management and monitoring of forests. For this task, we present our prototype mobile mapping backpack system for collecting 3D point clouds of forest vegetation.
M. Goebel, D. Iwaszczuk
doaj +1 more source