【論文閱讀】Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift [email protected] 2020/5/12 文章目錄 1. Method abstract during training, two alternating adaptation steps: 2. Motivat
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相關文章
- 1. Deep Cocktail Network
- 2. 【論文閱讀】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. 【論文閱讀筆記】——Batch Normalization:Accelerating Deep Network Traning by Reducing Internal Covariate Shift
- 7. 【論文閱讀】Domain Adaptation for Image Dehazing
- 8. [論文閱讀筆記@2019.6] Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 9. Unsupervised Domain Adaptation Through Self-Supervision論文閱讀筆記
- 10. 論文閱讀：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision