Domain Adaptive Semantic Segmentation via Entropy-Ranking and Uncertain Learning-Based Self-Training
Author:
Affiliation:
1. Electronic Information School, Wuhan University,Wuhan,China,430072
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization
Link
http://xplorestaging.ieee.org/ielx7/6570654/9849143/09849146.pdf?arnumber=9849146
Reference15 articles.
1. Unsupervised Scene Adaptation with Memory Regularization in vivo
2. Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
3. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
4. Domain Adaptation for Structured Output via Discriminative Patch Representations
5. Confidence Regularized Self-Training
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1. Low-Rank Optimal Transport for Robust Domain Adaptation;IEEE/CAA Journal of Automatica Sinica;2024-07
2. Mining High-Quality Pseudoinstance Soft Labels for Weakly Supervised Object Detection in Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2023
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