Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance
Author:
Affiliation:
1. University of Liège,Belgium
2. University of Louvain-la-Neuve,Belgium
3. University of Mons,Belgium
Funder
Service Public de Wallonie
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10029377/10029379/10031114.pdf?arnumber=10031114
Reference49 articles.
1. Multi-source domain adaptation for semantic segmentation;zhao;Advances Neural Inform Process Syst,2019
2. Bidirectional Learning for Domain Adaptation of Semantic Segmentation
3. Moment Matching for Multi-Source Domain Adaptation
4. MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation
5. Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
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