CVPR2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation
題目：用於無監督域自適應的可遷移原型網絡 作者：潘瀅煒個人主頁 京東AI研究院 出處：CVPR2019 Oral arxiv1904.11227v1 源碼：暫無 動機： 域自適應的關鍵是如何減小source domain和target domain的特徵的差異。現有的方法直接對齊source domain和target domain的整體分佈，忽略了細粒度的domain gap。本文提出在類別和樣
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相關文章
- 1. Transferrable Prototypical Networks for Unsupervised Domain Adaptation讀書筆記
- 2. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 3. Geodesic flow kernel for unsupervised domain adaptation
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- 5. [cvpr2017]Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks
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- 10. [CVPR 2018]Maximum Classifier Discrepancy for Unsupervised Domain Adaptation