【论文阅读】Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift

时间 2021-01-09

标签论文阅读迁移学习 multi source unsupervised DA 栏目系统网络繁體版

原文原文链接

Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift [email protected] 2020/5/12 文章目录 1. Method abstract during training, two alternating adaptation steps: 2. Motivat

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1. Deep Cocktail Network
2. 【论文阅读】Universal Domain Adaptation
3. [cvpr2017]Deep Hashing Network for Unsupervised Domain Adaptation
4. M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
5. Re-weighted adversarial adaptation network for unsupervised domain adaptation
6. 【论文阅读笔记】——Batch Normalization:Accelerating Deep Network Traning by Reducing Internal Covariate Shift
7. 【论文阅读】Domain Adaptation for Image Dehazing
8. [论文阅读笔记@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
9. Unsupervised Domain Adaptation Through Self-Supervision论文阅读笔记
10. 论文阅读：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision

>>更多相关文章<<