The advantage of adversarial domain adaptation is that it uses the idea of adversarial adaptation to confuse the feature distribution of two domains and solve the problem of domain transfer in transfer learning. However, although the discriminator completely confuses the two domains, adversarial domain ...
Eric Tzeng, Judy Hoffman, Kate Saenko, Trevor Darrell: Adversarial Discriminative Domain Adaptation. CVPR 2017. Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan: Conditional Adversarial Domain Adaptation. NeurIPS 2018. Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada: Maximum...
本文中,作者实现了一个名为Deep Domain-Adversarial Image Generation (DDAIG)的网络,主要有三部分组成: 标签分类器 域分类器 域转换网络(核心): 域转换网络的目标是将训练的源域数据映射至未见过的数据域中 二、Introductioin 作者发现的问题: 不可能收集到各个不同数据域中用于模型训练的数据 为每一个目标域数...
As manually labeling the training samples of each band is always time-consuming, we propose an unsupervised multi-level domain adaptation method based on adversarial learning to solve the problem of multi-band SAR images...
Yang. Deep adversarial attention alignment for unsupervised domain adaptation: the benefit of target expectation maximization. arXiv preprint arXiv:1801.10068, 2018.G. Kang, L. Zheng, Y. Yan, and Y. Yang, "Deep adversarial attention alignment for unsupervised domain adaptation: the benefit of ...
在具体数据流中,我们利用共享特征网络对所有源域以及目标域进行特征建模,然后利用多路对抗域适应技术(基于单路对抗域适应(adversarial domain adaptation)下的扩展,对抗域适应的共享特征网络对应于生成对抗学习(GAN)里面的生成器),每个源域分别与目标域进行两两组合对抗学习域不变特征。同时每个源域也分别进行监督学习,...
Adversarial Reweighting with α-Power Maximization for Domain Adaptation The practical Domain Adaptation (DA) tasks, e.g., Partial DA (PDA), open-set DA, universal DA, and test-time adaptation, have gained increasing attention i... X Gu,X Yu,Y Yang,... - 《International Journal of Comput...
We study the problem of learning domain invariant representations for time series data while transferring the complex temporal latent dependencies between the domains. Our model termed as Variational Recurrent Adversarial Deep Domain Adaptation (VRADA) is built atop a variational recurrent neural network ...
域自适应(Domain Adaptation)论文和代码- Domain-Symmetric Networks for Adversarial Domain Adaptation 热度: 【伯克利-滴滴出行】深度学习多源领域自适应综述 Multi-source Domain Adaptation in the Deep Learning Era A Systematic Survey 热度: ManuscriptacceptedbyNeurocomputing20181 ...
域适应系列3:Minimal-entropy Correlation Alignment for Unsupervised Deep Domain Adaptation(ICLR 2018),程序员大本营,技术文章内容聚合第一站。