[cvpr2017]Deep Hashing Network for Unsupervised Domain Adaptation
introduction 作者的框架（Domain Adaptive Hashing (DAH) ）通過學習source domain和target domain的信息哈希碼來進行分類（數據量很龐大，所以考慮到了哈希，可以利用哈希的快速查詢和低內存使用）。 作者在一個新的數據集——Office-Home——上進行試驗，這個數據集有來自4個域的圖像信息（15500圖像65個類），作者希望正式自己的算
相關文章
- 1. Re-weighted adversarial adaptation network for unsupervised domain adaptation
- 2. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 3. Geodesic flow kernel for unsupervised domain adaptation
- 4. Domain Adaptation for Object Recognition: An Unsupervised Approach
- 5. CVPR2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation
- 6. [CVPR 2018]Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 7. Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 8. Unsupervised Domain Adaptation by Backpropagation(2015)
- 9. CVPR 2019之遷移學習解讀（三）Contrastive Adaptation Network for Unsupervised Domain Adaptation
- 10. Domain Adaptation 與 Generative Adversarial Network
- 更多相關文章...
- • Swift for 循環 - Swift 教程
- • Scala for循環 - Scala教程
- • Flink 數據傳輸及反壓詳解
- • 算法總結-廣度優先算法
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Re-weighted adversarial adaptation network for unsupervised domain adaptation
- 2. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 3. Geodesic flow kernel for unsupervised domain adaptation
- 4. Domain Adaptation for Object Recognition: An Unsupervised Approach
- 5. CVPR2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation
- 6. [CVPR 2018]Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 7. Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 8. Unsupervised Domain Adaptation by Backpropagation(2015)
- 9. CVPR 2019之遷移學習解讀（三）Contrastive Adaptation Network for Unsupervised Domain Adaptation
- 10. Domain Adaptation 與 Generative Adversarial Network