論文筆記 —— 《Asymmetric Tri-training for Unsupervised Domain Adaptation》
論文筆記 —— 《Asymmetric Tri-training for Unsupervised Domain Adaptation》 圖片來自：link ID: Madazy 核心 ** 非對稱地使用三個神經網絡，非對稱的意思是說，與Tri-training不同，其中的兩個來爲無標籤數據生成僞標籤，還有一個來學習僞標籤的特徵表達。** 要解決的問題是：源數據有標籤，目標域沒有標籤，目標域與源域
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相關文章
- 1. 【論文筆記】Asymmetric Tri-training for Unsupervised Domain Adaptation
- 2. 論文筆記：Unsupervised Domain Adaptation by Backpropagation
- 3. 論文筆記 ——《Unsupervised Domain Adaptation by Backpropagation》
- 4. 《Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision》論文筆記
- 5. 《A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification》論文筆記
- 6. [論文閱讀筆記@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 7. 論文筆記：Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
- 8. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 9. 論文筆記：Domain Adaptation for Image Dehazing
- 10. Geodesic flow kernel for unsupervised domain adaptation