Zhang, X.; Li, L.; Di, D.; Wang, J.; Chen, G.; Jing, W.; Emam, M.
SERNet: Squeeze and Excitation Residual Network for Semantic Segmentation of High-Resolution Remote Sensing Images. Remote Sens. 2022, 14, 4770.
https://doi.org/10.3390/rs14194770
AMA Style
Zhang X, Li L, Di D, Wang J, Chen G, Jing W, Emam M.
SERNet: Squeeze and Excitation Residual Network for Semantic Segmentation of High-Resolution Remote Sensing Images. Remote Sensing. 2022; 14(19):4770.
https://doi.org/10.3390/rs14194770
Chicago/Turabian Style
Zhang, Xiaoyan, Linhui Li, Donglin Di, Jian Wang, Guangsheng Chen, Weipeng Jing, and Mahmoud Emam.
2022. "SERNet: Squeeze and Excitation Residual Network for Semantic Segmentation of High-Resolution Remote Sensing Images" Remote Sensing 14, no. 19: 4770.
https://doi.org/10.3390/rs14194770
APA Style
Zhang, X., Li, L., Di, D., Wang, J., Chen, G., Jing, W., & Emam, M.
(2022). SERNet: Squeeze and Excitation Residual Network for Semantic Segmentation of High-Resolution Remote Sensing Images. Remote Sensing, 14(19), 4770.
https://doi.org/10.3390/rs14194770