%0 Conference Paper
%1 marsden2022contrastive
%A Marsden, Robert A.
%A Bartler, Alexander
%A Döbler, Mario
%A Yang, Bin
%B 2022 International Joint Conference on Neural Networks (IJCNN)
%C Piscataway, NJ, USA
%D 2022
%I IEEE
%K ubs_10005 ubs_20007 ubs_30077 ubs_40334 unibibliografie wos
%P 1-8
%R 10.1109/IJCNN55064.2022.9892322
%T Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
%@ 978-1-7281-8671-9 and 978-1-6654-9526-4
@inproceedings{marsden2022contrastive,
added-at = {2023-05-16T13:05:53.000+0200},
address = {Piscataway, NJ, USA},
affiliation = {Marsden, RA (Corresponding Author), Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany.
Marsden, Robert A.; Bartler, Alexander; Doebler, Mario; Yang, Bin, Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany.},
author = {Marsden, Robert A. and Bartler, Alexander and Döbler, Mario and Yang, Bin},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d886f559943cc8c8c9122ea0a62d0234/unibiblio},
booktitle = {2022 International Joint Conference on Neural Networks (IJCNN)},
doi = {10.1109/IJCNN55064.2022.9892322},
eventdate = {2022-07-18/2022-07-23},
eventtitle = {2022 International Joint Conference on Neural Networks (IJCNN)},
interhash = {92ab7917ea6a86ca8913dcc100febc16},
intrahash = {d886f559943cc8c8c9122ea0a62d0234},
isbn = {{978-1-7281-8671-9} and {978-1-6654-9526-4}},
keywords = {ubs_10005 ubs_20007 ubs_30077 ubs_40334 unibibliografie wos},
language = {eng},
pages = {1-8},
publisher = {IEEE},
research-areas = {Computer Science; Engineering; Neurosciences & Neurology},
timestamp = {2023-05-16T13:05:53.000+0200},
title = {Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation},
unique-id = {WOS:000867070903082},
venue = {Padua, Italy},
year = 2022
}