讀論文《SSF-DAN: Separated Semantic Feature based Domain Adaptation Network for Semantic Segmentation》記錄
前言： 本篇論文是在《No More Discrimination: Cross City Adaptation of Road Scene Segmenters》的基礎上發展起來的。 semantic-wise 傳統的class-wise域自適應方法，使用全部的僞標籤來作爲對抗學習分類的標籤，但是由於僞標籤不一定全部正確，所以此方法存在一些問題–每個class-wise之間的域自適應方向可能不一
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相關文章
- 1. Bidirectional Learning for Domain Adaptation of Semantic Segmentation詳讀
- 2. Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
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- 8. 【論文閱讀】Learning Deconvolution Network for Semantic Segmentation
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- 10. 【論文筆記】Learning Deconvolution Network for Semantic Segmentation