Deep CORAL 是一种无监督域适应方法(Unsupervised domain adaptation),属于迁移学习领域。其用于解决深度神经网络在不同数据库中泛化能力不强的问题,即在数据库A(Source domain)上训练并验证深度神经网络,其预测性能优秀;而在数据库B(Target domain)上泛化能力弱,无法实现较好的预测。 其问题本自在于:源域(Source dom...
一、Domain adaptation 在开始介绍之前,首先我们需要知道Domain adaptation的概念。Domain adaptation,我在标题上把它称之为域适应,但是在文中我没有再翻译它,而是保持它的英文原意,这也有助于我们更好的理解它的概念。 Domain adaptation的目标是在某一个训练集上训练的模型,可以应用到另一个相关但不相同的测试集上。
而domain adaptation是一种transductive的风格迁移。 domain adaptation的分类: “unsupervised” domain adaptation : labeled source data + unlabeled target data “semi-supervised” domain adaptation :labeled source data+ some labeled target data are available “supervised” domain adaptation : labeled source an...
Deep transfer network: Unsupervised domain adaptation. arXiv preprint arXiv:1503.00591, 2015.Xu Zhang, Felix Xinnan Yu, Shih-Fu Chang, and Shengjin Wang. Deep transfer network: Unsupervised domain adaptation. CoRR, abs/1503.00591, 2015.Zhang, X., Yu, F.X., Chang, S., Wang, S.: Deep ...
Deep hashing network for unsupervised domain adaptation. In CVPR, 2017.Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, and Sethuraman Panchanathan. Deep hashing network for unsupervised domain adaptation. In CVPR, pages 5018- 5027, 2017....
论文信息 论文标题:Joint domain alignment and discriminative feature learning for unsupervised deep domain adaptation论文作者:Chao Chen , Zhihong Chen , Boyuan Jia
原文链接:https://arxiv.org/abs/1904.01990 摘要: 传统的无监督区域自适应方法(unsupervised domain adaptation)的思路是减少已标记域和未标记域之间的特征差异,但是这种方法很大程度上忽略了域内变化。而作者提出了三种内在不变性:样本不变性、相机不变性和邻域不变性(exemplar-invariance, camera-variance an... ...
域自适应(Domain Adaptation)论文和代码- Universal Domain Adaptation 热度: 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 ...
In this paper, we make two contributions to unsupervised domain adaptation (UDA) using the convolutional neural network (CNN). First, our approach transfers knowledge in all the convolutional layers through attention alignment. Most previous methods align high-level representations, e.g., activations ...
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。