CrossLocate: Cross-Modal Large-Scale Visual Geo-Localization in Natural Environments using Rendered Modalities

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APR36311" target="_blank" >RIV/00216305:26230/22:PR36311 - isvavai.cz</a>

Result on the web

<a href="https://github.com/JanTomesek/CrossLocate" target="_blank" >https://github.com/JanTomesek/CrossLocate</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

CrossLocate: Cross-Modal Large-Scale Visual Geo-Localization in Natural Environments using Rendered Modalities

Original language description

CrossLocate software implements the CrossLocate research paper published at the WACV 2022 conference. CrossLocate is a deep-learning method performing visual geo-localization, i.e. determining the geographic origin of photographs, which can be captured in natural environments, such as mountains. With this software, it is possible to train the localization method and evaluate it on a provided dataset. For more information and additional materials, please visit the project website: http://cphoto.fit.vutbr.cz/crosslocate/

Czech name

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Czech description

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Type

R - Software

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/LTAIZ19004" target="_blank" >LTAIZ19004: Deep-Learning Approach to Topographical Image Analysis</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID

CrossLocate

Technical parameters

https://github.com/JanTomesek/CrossLocate

Economical parameters

Produkt se poskytuje zdarma na základě uvedené licenční smlouvy.

Owner IČO

00216305

Owner name

Vysoké učení technické v Brně