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Towards Fewer Annotations: Active Learning via Region Impurity and
  Prediction Uncertainty for Domain Adaptive Semantic Segmentation

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

25 November 2021
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
    UQCV
ArXivPDFHTML

Papers citing "Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation"

3 / 53 papers shown
Title
Differential Treatment for Stuff and Things: A Simple Unsupervised
  Domain Adaptation Method for Semantic Segmentation
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang
Mo Yu
Yunchao Wei
Rogerio Feris
Jinjun Xiong
Wen-mei W. Hwu
Thomas S. Huang
Humphrey Shi
OOD
187
232
0
18 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
191
497
0
08 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
233
789
0
26 Aug 2019
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