Funder
National Research Foundation of Korea
Ministry of Science, ICT and Future Planning
Reference34 articles.
1. Blitzer, J., Crammer, K., Kulesza, A., Pereira, F., & Wortman, J. (2007). Learning Bounds for Domain Adaptation. In Conference on neural information processing systems. (neurIPS).
2. ImageCLEF 2014: Overview and analysis of the results;Caputo,2014
3. Cui, S., Wang, S., Zhuo, J., Su, C., Huang, Q., & Tian, Q. (2020). Gradually vanishing bridge for adversarial domain adaptation. In IEEE conference on computer vision and pattern recognition. (CVPR).
4. Dizaji, K. G., Herandi, A., Deng, C., Cai, W., & Huang, H. (2017). Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. In International conference on computer vision. (ICCV).
5. Domain-adversarial training of neural networks;Ganin,2017