Source Data-Free Cross-Domain Semantic Segmentation: Align, Teach and
Propagate

Source Data-Free Cross-Domain Semantic Segmentation: Align, Teach and Propagate

22 June 2021

Jian Liang

Zhaoxiang Zhang

Papers citing "Source Data-Free Cross-Domain Semantic Segmentation: Align, Teach and Propagate"

8 / 8 papers shown

Title
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation Yawen Zou Chunzhi Gu Junzhou Yu Shangce Gao Chao Zhang 24 1 0 26 May 2024
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation Haochen Wang Yujun Shen Jingjing Fei Wei Li Liwei Wu Yuxi Wang Zhaoxiang Zhang OOD 28 7 0 23 May 2023
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu 126 210 0 07 Oct 2021
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation Thanh-Dat Truong C. Duong Ngan Le S. L. Phung Chase Rainwater Khoa Luu 48 34 0 06 Aug 2021
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 173 232 0 18 Mar 2020
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation Jinyu Yang Weizhi An Sheng Wang Xinliang Zhu Chao-chao Yan Junzhou Huang 45 104 0 10 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 164 494 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 202 783 0 26 Aug 2019