[cvpr2017]Adversarial Discriminative Domain Adaptation
Introduction 本文针对无监督 作者结合了discriminative model，untie weight sharing和GAN loss，创建了一种新的模型： Adversarial Discriminative Domain Adaptation (ADDA) 先前的生成式方法（Prior generative approaches ）展示了非常有效的学习过程可视化，但是对于判别
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- 1. ADDA: Adversarial Discriminative Domain Adaptation
- 2. 【Transfer Learning】Adversarial Discriminative Domain Adaptation
- 3. Open Compound Domain Adaptation
- 4. Multi-source Distilling Domain Adaptation
- 5. Domain Adaptation总结（2017.9）
- 6. 2017CVPR--Adversarial Discriminative Domain Adaptation 对抗判别域适应
- 7. Open Set Domain Adaptation
- 8. domain adaptation 之 cycleGAN
- 9. Multi-Adversarial Domain Adaptation
- 10. Class-Incremental Domain Adaptation
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相关文章
- 1. ADDA: Adversarial Discriminative Domain Adaptation
- 2. 【Transfer Learning】Adversarial Discriminative Domain Adaptation
- 3. Open Compound Domain Adaptation
- 4. Multi-source Distilling Domain Adaptation
- 5. Domain Adaptation总结（2017.9）
- 6. 2017CVPR--Adversarial Discriminative Domain Adaptation 对抗判别域适应
- 7. Open Set Domain Adaptation
- 8. domain adaptation 之 cycleGAN
- 9. Multi-Adversarial Domain Adaptation
- 10. Class-Incremental Domain Adaptation