Neutral Cross-Entropy Loss Based Unsupervised Domain Adaptation for Semantic Segmentation

The generalization performance for semantic segmentation remains a major challenge when the data distributions between the source and target domain mismatch. Unsupervised domain adaptation (UDA) approaches are proposed to mitigate the problem above, among which entropy-minimization-based methods hav...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 20., Seite 4516-4525
1. Verfasser:	Xu, Hanqing (VerfasserIn)
Weitere Verfasser:	Yang, Ming, Deng, Liuyuan, Qian, Yeqiang, Wang, Chunxiang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2021
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article