Source-Free Domain Adaptation for Semantic Segmentation

Source-Free Domain Adaptation for Semantic Segmentation

Computer Vision and Pattern Recognition (CVPR), 2021

30 March 2021

Wei Zhang

Jun Wang

ArXiv (abs)PDF HTML

Papers citing "Source-Free Domain Adaptation for Semantic Segmentation"

8 / 158 papers shown

Title
Source Data-Free Cross-Domain Semantic Segmentation: Align, Teach and PropagateIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yuxi Wang Jian Liang Zhaoxiang Zhang 214 11 0 22 Jun 2021
Source-Free Open Compound Domain Adaptation in Semantic Segmentation Yuyang Zhao Zhun Zhong Shaozi Li G. Lee Andrii Zadaianchuk TTA 175 97 0 07 Jun 2021
Multi-Modal RGB-D Scene Recognition Across Domains Andrea Ferreri S. Bucci Tatiana Tommasi 151 6 0 26 Mar 2021
Domain Adaptation for Medical Image Analysis: A SurveyIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021 Hao Guan Mingxia Liu OOD 287 728 0 18 Feb 2021
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations Marvin Klingner Jan-Aike Termöhlen Jacob Ritterbach Tim Fingscheidt 222 42 0 17 Nov 2020
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions Mohammad Rostami Aram Galstyan CLL OffRL 136 27 0 01 Jul 2020
Night-time Scene Parsing with a Large Real DatasetIEEE Transactions on Image Processing (TIP), 2020 Xin Tan Ke Xu Ying Cao Yiheng Zhang Lizhuang Ma Rynson W. H. Lau 166 117 0 15 Mar 2020
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D imagesApplied Artificial Intelligence (AAI), 2019 Irem Ülkü Erdem Akagündüz SSeg 285 209 0 21 Dec 2019