%0 Conference Paper %1 conf/iccv/LiJHCH21 %A Li, Ruihuang %A Jia, Xu %A He, Jianzhong %A Chen, Shuaijun %A Hu, Qinghua %B ICCV %D 2021 %I IEEE %K dblp %P 9971-9980 %T T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. %U http://dblp.uni-trier.de/db/conf/iccv/iccv2021.html#LiJHCH21 %@ 978-1-6654-2812-5

@inproceedings{conf/iccv/LiJHCH21, added-at = {2024-11-15T00:00:00.000+0100}, author = {Li, Ruihuang and Jia, Xu and He, Jianzhong and Chen, Shuaijun and Hu, Qinghua}, biburl = {https://www.bibsonomy.org/bibtex/2353e1c47186b4b2f9f8db55cb8fc5af5/dblp}, booktitle = {ICCV}, crossref = {conf/iccv/2021}, ee = {https://doi.org/10.1109/ICCV48922.2021.00984}, interhash = {bf2ef3aef84c2a3bf33edd089e000930}, intrahash = {353e1c47186b4b2f9f8db55cb8fc5af5}, isbn = {978-1-6654-2812-5}, keywords = {dblp}, pages = {9971-9980}, publisher = {IEEE}, timestamp = {2024-11-18T07:21:19.000+0100}, title = {T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation.}, url = {http://dblp.uni-trier.de/db/conf/iccv/iccv2021.html#LiJHCH21}, year = 2021 }