%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 %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 = {2023-05-16T13:05:55.000+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 = {}, language = {eng}, pages = {1-8}, publisher = {IEEE}, research-areas = {Computer Science; Engineering; Neurosciences & Neurology}, timestamp = {2023-05-16T13:05:58.000+0200}, title = {Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation}, unique-id = {WOS:000867070903082}, venue = {Padua, Italy}, year = 2022 }