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
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