%0 Journal Article %1 journals/tcsv/LiaoZXSX23 %A Liao, Tangfei %A Zhang, Xiaoqin %A Xu, Yuewang %A Shi, Ziwei %A Xiao, Guobao %D 2023 %J IEEE Trans. Circuits Syst. Video Technol. %K dblp %N 12 %P 7578-7590 %T SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence Learning. %U http://dblp.uni-trier.de/db/journals/tcsv/tcsv33.html#LiaoZXSX23 %V 33

@article{journals/tcsv/LiaoZXSX23, added-at = {2024-01-13T00:00:00.000+0100}, author = {Liao, Tangfei and Zhang, Xiaoqin and Xu, Yuewang and Shi, Ziwei and Xiao, Guobao}, biburl = {https://www.bibsonomy.org/bibtex/2deff69af49a3da3756b45c8fe748a75b/dblp}, ee = {https://doi.org/10.1109/TCSVT.2023.3275817}, interhash = {9f58dfce4e66eb0a75d46197a618becd}, intrahash = {deff69af49a3da3756b45c8fe748a75b}, journal = {IEEE Trans. Circuits Syst. Video Technol.}, keywords = {dblp}, month = {December}, number = 12, pages = {7578-7590}, timestamp = {2024-04-08T19:05:00.000+0200}, title = {SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence Learning.}, url = {http://dblp.uni-trier.de/db/journals/tcsv/tcsv33.html#LiaoZXSX23}, volume = 33, year = 2023 }