Confidence-guided Source Label Refinement and Class-aware Pseudo-Label Thresholding for Domain-Adaptive Semantic Segmentation
Author:
Affiliation:
1. Sun Yat-Sen University,School of Computer Science and Engineering,Guangzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650579.pdf?arnumber=10650579
Reference32 articles.
1. Self-Training With Noisy Student Improves ImageNet Classification
2. DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
3. Unsupervised Adversarial Domain Adaptation for Sim-to-Real Transfer of Tactile Images
4. Feature concatenation for adversarial domain adaptation
5. Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
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