1. UHRSNet: A Semantic Segmentation Network Specifically for Ultra-High-Resolution Images
2. Shan, L., Wang, W., Lv, K., and : Class-incremental learning for semantic segmentation in aerial imagery via distillation in all aspects. In Transactions on Geoscience and Remote Sensing. pp. 60: 1-12. IEEE. 2021.
3. Shan, L., Li, X., and Wang, W.: Decouple the high-frequency and low-frequency information of images for semantic segmentation In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 1805-1809. IEEE. 2021.
4. Global-Local Attention Network for Semantic Segmentation in Aerial Images
5. MBNet: A Multi-Resolution Branch Network for Semantic Segmentation Of Ultra-High Resolution Images