The following publications are possibly variants of this publication:
- Hyperspectral Image Classification Based on Generative Adversarial Networks with Feature Fusing and Dynamic Neighborhood Voting MechanismYing Zhan, Yasmine Medjadba, Guian Wang, Xianchuan Yu, Jin Qin, Tao Huang, Kang Wu, Dan Hu, Zhengang Zhao, Yuntao Wang, Ying Cao, RunCheng Jiao. igarss 2019: 811-814 [doi]
- Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image ClassificationZhi He, Han Liu, Yiwen Wang, Jie Hu. remotesensing, 9(10):1042, 2017. [doi]
- Semi-Supervised Classification of Hyperspectral Data for Geologic Body Based on Generative Adversarial Networks at Tianshan AreaJin Qin, Ying Zhan, Kang Wu, Wei Liu, Zhaoying Yang, Wang Yao, Yasmine Medjadba, Yuanfei Zhang, Xianchuan Yu. igarss 2018: 4776-4779 [doi]
- Semi-Supervised Variational Generative Adversarial Networks for Hyperspectral Image ClassificationHao Wang, Chao Tao, Ji Qi, Haifeng Li, Yuqi Tang. igarss 2019: 9792-9794 [doi]
- Learning to Fuse Music Genres with Generative Adversarial Dual LearningZhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu. In Proceedings of the International Conference on Data Mining (ICDM). 2017: