Results 11 to 20 of about 25,108,907 (293)

Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan

open access: yesGlasnik Šumarskog Fakulteta Univerziteta u Banjoj Luci, 2021
In this research, an integrated framework on the big Earth data analysis has been developed in the context of the geomorphology of Jordan. The research explores the correlation between several thematic datasets, including machine learning and ...
Polina Lemenkova
doaj   +5 more sources

GDAL and PROJ Libraries Integrated with GRASS GIS for Terrain Modelling of the Georeferenced Raster Image

open access: yesTechnologies, 2023
Libraries with pre-written codes optimize the workflow in cartography and reduce labour intensive data processing by iteratively applying scripts to implementing mapping tasks.
Polina Lemenkova, Olivier Debeir
doaj   +1 more source

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
Text-to-image generation is a significant domain in modern computer vision and has achieved substantial improvements through the evolution of generative architectures. Among these, there are diffusion-based models that have demonstrated essential quality
Anton Razzhigaev   +9 more
semanticscholar   +1 more source

Panoptic quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology

open access: yesScientific Reports, 2023
Panoptic Quality (PQ), designed for the task of “Panoptic Segmentation” (PS), has been used in several digital pathology challenges and publications on cell nucleus instance segmentation and classification (ISC) since its introduction in 2019.
Adrien Foucart   +2 more
doaj   +1 more source

Handling Dataset with Geophysical and Geological Variables on the Bolivian Andes by the GMT Scripts

open access: yesData, 2022
In this paper, an integrated mapping of the georeferenced data is presented using the QGIS and GMT scripting tool set. The study area encompasses the Bolivian Andes, South America, notable for complex geophysical and geological parameters and high ...
Polina Lemenkova
doaj   +1 more source

Vector Quantized Diffusion Model for Text-to-Image Synthesis [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
We present the vector quantized diffusion (VQ-Diffusion) model for text-to-image generation. This method is based on a vector quantized variational autoencoder (VQ-VAE) whose latent space is modeled by a conditional variant of the recently developed ...
S. Gu   +7 more
semanticscholar   +1 more source

Georeferenced gridded data handled by GMT: cartographic solutions for geophysical mapping

open access: yesGeoreview, 2021
The functionality of Generic Mapping Tools (GMT) to process and visualize geospatial information is crucial to the development of the advanced cartographic method. This paper presents modelling and spatial analysis of the marine geological data using GMT
Polina LEMENKOVA
doaj   +1 more source

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion [PDF]

open access: yesIEEE International Conference on Computer Vision, 2023
Recent text-to-image diffusion models have demonstrated an astonishing capacity to generate high-quality images. However, researchers mainly studied the way of synthesizing images with only text prompts.
Jin-Heng Xie   +6 more
semanticscholar   +1 more source

Semantic Image Synthesis With Spatially-Adaptive Normalization [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
We propose spatially-adaptive normalization, a simple but effective layer for synthesizing photorealistic images given an input semantic layout. Previous methods directly feed the semantic layout as input to the network, forcing the network to memorize ...
Taesung Park   +3 more
semanticscholar   +1 more source

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).
Ting-Chun Wang   +5 more
semanticscholar   +1 more source

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