域自適應學習分割：ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
1、ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation 目的：這篇文章和前幾篇一樣的思想，都是用對抗學習的思想來做域自適應學習分割，一個系列的文章，前面幾篇可以當做瞭解，這篇着重學習代碼，以及熵最小化這種思想。從網絡，訓練過程多方面學習，尤其把網絡訓練起來。 Adversar
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相關文章
- 1. Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
- 2. Bidirectional Learning for Domain Adaptation of Semantic Segmentation詳讀
- 3. Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
- 4. Fully Convolutional Adaptation Networks for Semantic Segmentation
- 5. 《Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision》論文筆記
- 6. Multi-Adversarial Domain Adaptation
- 7. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
- 8. Adversarial learning for semi-supervised semantic segmentation
- 9. 域適應學習筆記：visual Domain Adaptation
- 10. 論文閱讀：Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision