Zobrazeno 1 - 2 of 2 pro vyhledávání: '"Valls I Ferrer, Gerard"'
1
Dissertation/ Thesis
Learning from Synthetic Data : Towards Effective Domain Adaptation Techniques for Semantic Segmentation of Urban Scenes
Autor: Valls I Ferrer, Gerard
Semantic segmentation is the task of predicting predefined class labels for each pixel in a given image. It is essential in autonomous driving, but also challenging because training accurate models requires large and diverse datasets, which are diffi
Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-308936
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2
Lärande från Syntetiska Data : Mot Effektiva Domänanpassningstekniker för Semantisk Segmentering av Urbana Scener
Autor: Valls I Ferrer, Gerard
Semantic segmentation is the task of predicting predefined class labels for each pixel in a given image. It is essential in autonomous driving, but also challenging because training accurate models requires large and diverse datasets, which are diffi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::91fbd9bf001aacc66ca5a5e91768a8eb
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-308936
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Plný text Recenzováno Digitální knihovna AV ČR
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