Unsupervised Domain Adaptation with Residual Transfer Networks（2017）
introduction 作者认为，domain adaption（域适应）方法旨在通过学习domain-invariant feature（域不变特征）来桥接source domain和target domain，从而能够在target domain没有标签的情况下，利用source domain所学到的分类器对target domain进行预测。 现在已经可以将domain adaption嵌
相关文章
- 1. Unsupervised domain adaptation with residual transfer networks(NIPS 2016)
- 2. [cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
- 3. CVPR2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation
- 4. 迁移学习-PixelDA-Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
- 5. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 6. M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
- 7. Image-Image Domain Adaptation with Preserved Self-Similarity andDomain-Dissimilarity for Person Re-i
- 8. Unsupervised Domain Adaptation by Backpropagation(2015)
- 9. Domain Adaptation总结（2017.9）
- 10. 【Transfer Learning】Adversarial Discriminative Domain Adaptation
- 更多相关文章...
- • ASP Transfer 方法 - ASP 教程
- • XSLT
- • 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
- • Tomcat学习笔记（史上最全tomcat学习笔记）
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 在windows下的虚拟机中,安装华为电脑的deepin操作系统
- 2. 强烈推荐款下载不限速解析神器
- 3. 【区块链技术】孙宇晨：区块链技术带来金融服务的信任变革
- 4. 搜索引起的链接分析-计算网页的重要性
- 5. TiDB x 微众银行 | 耗时降低 58%，分布式架构助力实现普惠金融
- 6. 《数字孪生体技术白皮书》重磅发布（附完整版下载）
- 7. 双十一“避坑”指南：区块链电子合同为电商交易保驾护航！
- 8. 区块链产业，怎样“链”住未来？
- 9. OpenglRipper使用教程
- 10. springcloud请求一次好用一次不好用zuul Name or service not known
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Unsupervised domain adaptation with residual transfer networks(NIPS 2016)
- 2. [cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
- 3. CVPR2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation
- 4. 迁移学习-PixelDA-Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
- 5. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 6. M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
- 7. Image-Image Domain Adaptation with Preserved Self-Similarity andDomain-Dissimilarity for Person Re-i
- 8. Unsupervised Domain Adaptation by Backpropagation(2015)
- 9. Domain Adaptation总结（2017.9）
- 10. 【Transfer Learning】Adversarial Discriminative Domain Adaptation