Author:
Song Xiao,Yang Guorun,Zhu Xinge,Zhou Hui,Ma Yuexin,Wang Zhe,Shi Jianping
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference111 articles.
1. Abramov, A., Bayer, C., & Heller, C. (2020). Keep it simple: Image statistics matching for domain adaptation. arXiv preprint arXiv:2005.12551.
2. Atapour-Abarghouei, A., Breckon, T. P. (2018). Real-time monocular depth estimation using synthetic data with domain adaptation via image style transfer. In CVPR.
3. Black, M. J., & Rangarajan, A. (1996). On the unification of line processes, outlier rejection, and robust statistics with applications in early vision. In IJCV.
4. Bleyer, M., Rhemann, C., & Rother, C. (2011). Patchmatch stereo–stereo matching with slanted support windows. In BMVC.
5. Bousmalis, K., Silberman, N., Dohan, D., Erhan, D., & Krishnan, D. (2017). Unsupervised pixel-level domain adaptation with generative adversarial networks. In CVPR.
Cited by
9 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