[論文閱讀筆記@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

時間 2021-01-02

標籤論文閱讀筆記深度學習 pytorch 神經網絡機器學習欄目 HTML 简体版

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文章目錄 [論文閱讀筆記@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation 1. Introduction Previous Methods: However: Proposed Method: 2. Related Work 3. Method 3.1 Overall Idea 要讓生成器的特徵更遠

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1. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
2. [CVPR 2018]Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
3. 讀論文《Maximum Classifier Discrepancy for Unsupervised Domain Adaptation》後的總結
4. 【論文閱讀】Universal Domain Adaptation
5. 論文筆記 ——《Unsupervised Domain Adaptation by Backpropagation》
6. 【論文閱讀】Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
7. Unsupervised Domain Adaptation Through Self-Supervision論文閱讀筆記
8. Re-weighted adversarial adaptation network for unsupervised domain adaptation
9. 論文筆記：Unsupervised Domain Adaptation by Backpropagation
10. 論文閱讀：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
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1. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
2. [CVPR 2018]Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
3. 讀論文《Maximum Classifier Discrepancy for Unsupervised Domain Adaptation》後的總結
4. 【論文閱讀】Universal Domain Adaptation
5. 論文筆記 ——《Unsupervised Domain Adaptation by Backpropagation》
6. 【論文閱讀】Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
7. Unsupervised Domain Adaptation Through Self-Supervision論文閱讀筆記
8. Re-weighted adversarial adaptation network for unsupervised domain adaptation
9. 論文筆記：Unsupervised Domain Adaptation by Backpropagation
10. 論文閱讀：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision

>>更多相關文章<<