Deep CORAL: Correlation Alignment for Deep Domain Adaptation（2016）
Introduction 作者引進了一個叫做CORAL的方法，通過對source domain和target domain進行線性變換來將他們各自的的二階統計量對齊（對齊均值與協方差矩陣）。 但是作者認爲CORAL實際上需要先對圖像進行特徵提取，再進行線性轉換，再訓練一個SVM分類器，比較麻煩。 作者對CORAL方法進行了拓展，通過在source domain和target domain之間建立一
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相關文章
- 1. Deep CORAL: Correlation Alignment for Deep Domain Adaptation
- 2. 域適應系列3：Minimal-entropy Correlation Alignment for Unsupervised Deep Domain Adaptation（ICLR 2018）
- 3. Deep visual domain adaptation: A survey
- 4. [cvpr2017]Deep Hashing Network for Unsupervised Domain Adaptation
- 5. Synthetic to real adaptation with generative correlation alignment network
- 6. [cvpr2017]Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
- 7. (JGSA) Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
- 8. M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
- 9. Deep Cascaded Regression for Face Alignment（DCR2015）
- 10. SSPP-DAN: DEEP DOMAIN ADAPTATION NETWORK FOR FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON