The following publications are possibly variants of this publication:
- Point-Based Weakly Supervised Deep Learning for Water Extraction from High-Resolution Remote Sensing ImageryMing Lu, Leyuan Fang, Yi Zhang. CIKM 2021: [doi]
- FlipCAM: A Feature-Level Flipping Augmentation Method for Weakly Supervised Building Extraction From High-Resolution Remote Sensing ImageryXueliang Zhang 0002, Qi Su, Pengfeng Xiao, Wenye Wang, Zhenshi Li, Guangjun He. tgrs, 62:1-17, 2024. [doi]
- On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing ImageryZhenshi Li, Xueliang Zhang, Pengfeng Xiao, Zixian Zheng. staeors, 14:3266-3281, 2021. [doi]
- Improved Pseudomasks Generation for Weakly Supervised Building Extraction From High-Resolution Remote Sensing ImageryFang Fang 0008, Daoyuan Zheng, Shengwen Li, Yuanyuan Liu 0004, Linyun Zeng, Jiahui Zhang, Bo Wan. staeors, 15:1629-1642, 2022. [doi]
- A new algorithm for water information extraction from high resolution remote sensing imageryShijin Li, Shengte Wang, Zhan Zheng, Dingsheng Wan, Jun Feng. icip 2016: 4359-4363 [doi]
- MSG-SR-Net: A Weakly Supervised Network Integrating Multiscale Generation and Superpixel Refinement for Building Extraction From High-Resolution Remotely Sensed ImageriesXin Yan, Li Shen 0004, Jicheng Wang, Xu Deng, Zhilin Li. staeors, 15:1012-1023, 2022. [doi]
- ALNet: Auxiliary Learning-Based Network for Weakly Supervised Building Extraction From High-Resolution Remote Sensing ImagesXin Yan, Li Shen 0004, Junjie Pan, Jicheng Wang, Chao Chen, Zhilin Li. tgrs, 61:1-16, 2023. [doi]
- Hierarchical Building Extraction from High-resolution Remote Sensing Imagery Based on Multi-feature and Multi-scale MethodYuzhun Lin, Baoming Zhang, Junfeng Xu, Jian Li, Chuan Zhao, Donghang Yu. icmip 2018: 17-23 [doi]
- Lightweight Deep Neural Network Method for Water Body Extraction from High-Resolution Remote Sensing Images with MultisensorsYanjun Wang 0002, Shaochun Li, Yunhao Lin, Mengjie Wang. sensors, 21(21):7397, 2021. [doi]