%0 Conference Paper %1 conf/iconip/LiZGFY22 %A Li, Xuewei %A Zhang, Weilun %A Gao, Jie %A Fu, Xuzhou %A Yu, Jian %B ICONIP (1) %D 2022 %E Tanveer, Mohammad %E Agarwal, Sonali %E Ozawa, Seiichi %E Ekbal, Asif %E Jatowt, Adam %I Springer %K dblp %P 296-308 %T IDPL: Intra-subdomain Adaptation Adversarial Learning Segmentation Method Based on Dynamic Pseudo Labels. %U http://dblp.uni-trier.de/db/conf/iconip/iconip2022-1.html#LiZGFY22 %V 13623 %@ 978-3-031-30105-6

@inproceedings{conf/iconip/LiZGFY22, added-at = {2023-12-04T00:00:00.000+0100}, author = {Li, Xuewei and Zhang, Weilun and Gao, Jie and Fu, Xuzhou and Yu, Jian}, biburl = {https://www.bibsonomy.org/bibtex/2563b13c5cac4c7aba459d05b00f1213a/dblp}, booktitle = {ICONIP (1)}, crossref = {conf/iconip/2022-1}, editor = {Tanveer, Mohammad and Agarwal, Sonali and Ozawa, Seiichi and Ekbal, Asif and Jatowt, Adam}, ee = {https://doi.org/10.1007/978-3-031-30105-6_25}, interhash = {c3ee4f0699356430aaca14c87c50e5b0}, intrahash = {563b13c5cac4c7aba459d05b00f1213a}, isbn = {978-3-031-30105-6}, keywords = {dblp}, pages = {296-308}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-10T02:44:11.000+0200}, title = {IDPL: Intra-subdomain Adaptation Adversarial Learning Segmentation Method Based on Dynamic Pseudo Labels.}, url = {http://dblp.uni-trier.de/db/conf/iconip/iconip2022-1.html#LiZGFY22}, volume = 13623, year = 2022 }