Results 21 to 30 of about 25,108,907 (293)
This paper addresses the issue of the satellite image processing using GRASS GIS in the mangrove forests of the Niger River Delta, southern Nigeria. The estuary of the Niger River Delta in the Gulf of Guinea is an essential hotspot of biodiversity on the
Polina Lemenkova, Olivier Debeir
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Tanzania Craton, Serengeti Plain and Eastern Rift Valley: mapping of geospatial data by scripting techniques [PDF]
Cartographic visualization is a key means for the analysis of the Earthâs environmental processes. In view of the rapidly increasing multi-source data, cartographic approaches are updated accordingly.
Polina Lemenkova
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MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis [PDF]
Generative modeling and representation learning are two key tasks in computer vision. However, these models are typically trained independently, which ignores the potential for each task to help the other, and leads to training and model maintenance ...
Tianhong Li +5 more
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With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important.
Polina Lemenkova, Olivier Debeir
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Desertification is one of the most destructive climate-related issues in the Sudan–Sahel region of Africa. As the assessment of desertification is possible by satellite image analysis using vegetation indices (VIs), this study reports on the technical ...
Polina Lemenkova, Olivier Debeir
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Quantitative Morphometric 3D Terrain Analysis of Japan Using Scripts of GMT and R
In this paper, we describe two related scripting methods of cartographic data processing and visualization that provide 2D and 3D mapping of Japan with different algorithm complexity.
Polina Lemenkova, Olivier Debeir
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Introduction Over the last 5 years, the analysis of respiratory patterns presents a growing usage in clinical and research purposes, but there is still currently a lack of easy‐to‐use and affordable devices to perform such kind of evaluation.
Olivier Van Hove +9 more
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ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis [PDF]
Generative adversarial models with convolutional neural network (CNN) backbones have recently been established as state-of-the-art in numerous medical image synthesis tasks. However, CNNs are designed to perform local processing with compact filters, and
Onat Dalmaz, Mahmut Yurt, Tolga Cukur
semanticscholar +1 more source
Grounded Text-to-Image Synthesis with Attention Refocusing [PDF]
Driven by the scalable diffusion models trained on large-scale datasets, text-to-image synthesis methods have shown compelling results. However, these models still fail to pre-cisely follow the text prompt involving multiple objects, attributes, or ...
Quynh Phung, Songwei Ge, Jia-Bin Huang
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StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis [PDF]
Text-to-image synthesis has recently seen significant progress thanks to large pretrained language models, large-scale training data, and the introduction of scalable model families such as diffusion and autoregressive models.
Axel Sauer +4 more
semanticscholar +1 more source

