Cite
JRA-Net: Joint representation attention network for correspondence learning.
MLA
Shi, Ziwei, et al. “JRA-Net: Joint Representation Attention Network for Correspondence Learning.” Pattern Recognition, vol. 135, Mar. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.patcog.2022.109180.
APA
Shi, Z., Xiao, G., Zheng, L., Ma, J., & Chen, R. (2023). JRA-Net: Joint representation attention network for correspondence learning. Pattern Recognition, 135, N.PAG. https://doi.org/10.1016/j.patcog.2022.109180
Chicago
Shi, Ziwei, Guobao Xiao, Linxin Zheng, Jiayi Ma, and Riqing Chen. 2023. “JRA-Net: Joint Representation Attention Network for Correspondence Learning.” Pattern Recognition 135 (March): N.PAG. doi:10.1016/j.patcog.2022.109180.