Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
Adaptive Semantic Segmentation

Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation

8 March 2020

Yi Yang

Papers citing "Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation"

4 / 4 papers shown

Title
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes J. L. Gómez Manuel Silva Antonio Seoane Agnes Borrás Mario Noriega Germán Ros Jose A. Iglesias-Guitian Antonio M. López 3DPC 34 12 0 19 Dec 2023
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 194 723 0 26 Aug 2019
Fully Convolutional Adaptation Networks for Semantic Segmentation Yiheng Zhang Zhaofan Qiu Ting Yao Dong Liu Tao Mei SSeg OOD 136 338 0 23 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 230 8,157 0 06 Jun 2015