论文笔记 —— 《Asymmetric Tri-training for Unsupervised Domain Adaptation》
论文笔记 —— 《Asymmetric Tri-training for Unsupervised Domain Adaptation》 图片来自：link ID: Madazy 核心 ** 非对称地使用三个神经网络，非对称的意思是说，与Tri-training不同，其中的两个来为无标签数据生成伪标签，还有一个来学习伪标签的特征表达。** 要解决的问题是：源数据有标签，目标域没有标签，目标域与源域
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相关文章
- 1. 【论文笔记】Asymmetric Tri-training for Unsupervised Domain Adaptation
- 2. 论文笔记：Unsupervised Domain Adaptation by Backpropagation
- 3. 论文笔记 ——《Unsupervised Domain Adaptation by Backpropagation》
- 4. 《Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision》论文笔记
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- 6. [论文阅读笔记@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 7. 论文笔记：Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
- 8. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 9. 论文笔记：Domain Adaptation for Image Dehazing
- 10. Geodesic flow kernel for unsupervised domain adaptation