Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation
Author:
Affiliation:
1. Chinese Academy of Sciences (CASIA),Institute of Automation
2. Huawei Cloud&AI
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710267.pdf?arnumber=9710267
Reference41 articles.
1. Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
2. Unsupervised Scene Adaptation with Memory Regularization in vivo
3. ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
4. Domain Adaptation for Structured Output via Discriminative Patch Representations
5. Learning to Adapt Structured Output Space for Semantic Segmentation
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