Funder
National Natural Science Foundation of China
Reference88 articles.
1. LandCoverNet: A global benchmark land cover classification training dataset;Alemohammad,2020
2. Araslanov, N., Roth, S., 2021. Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition. CVPR, pp. 15384–15394.
3. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI),2017
4. Domain adaptation for remote sensing image semantic segmentation: An integrated approach of contrastive learning and adversarial learning;Bai;IEEE Trans. Geosci. Rem. Sens. (TGRS),2022
5. Unsupervised domain adaptation using generative adversarial networks for semantic segmentation of aerial images;Benjdira;Rem. Sens. (RS),2019
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献