ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.06484
  4. Cited By
Domain Adaptive Semantic Segmentation without Source Data

Domain Adaptive Semantic Segmentation without Source Data

13 October 2021
Fuming You
Jingjing Li
Lei Zhu
Ke Lu
Zhi Chen
Zi Huang
ArXiv (abs)PDFHTMLGithub (24★)

Papers citing "Domain Adaptive Semantic Segmentation without Source Data"

12 / 12 papers shown
Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
317
493
0
26 Feb 2025
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with
  Differentiable Expected Calibration Error
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error
Zixin Wang
Yadan Luo
Zhi Chen
Sen Wang
Zi Huang
110
13
0
06 Aug 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
128
14
0
15 Mar 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
Jikang Cheng
TTA
129
109
0
23 Feb 2023
Self-training via Metric Learning for Source-Free Domain Adaptation of
  Semantic Segmentation
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation
Ibrahim Batuhan Akkaya
U. Halici
TTA
85
2
0
08 Dec 2022
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain
  Adaptative Semantic Segmentation
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
Mu Chen
Zhedong Zheng
Yi Yang
Tat-Seng Chua
121
54
0
14 Nov 2022
Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet
  Effective Baseline
Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline
Yuan-Gen Wang
Leyan Zhu
Shaofei Huang
Tianrui Hui
Xiaojie Li
Fei Wang
Si Liu
78
9
0
06 Oct 2022
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for
  Source-Relaxed Medical Image Segmentation
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Xiaofeng Liu
Fangxu Xing
Xiaofeng Liu
Jonghye Woo
OOD
95
32
0
16 Sep 2022
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
117
48
0
31 Dec 2021
Unsupervised Adaptation of Semantic Segmentation Models without Source
  Data
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
S. Paul
Ansh Khurana
Gaurav Aggarwal
OOD
189
7
0
04 Dec 2021
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
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
UQCV
93
92
0
25 Nov 2021
Generation, augmentation, and alignment: A pseudo-source domain based
  method for source-free domain adaptation
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation
Yuntao Du
Haiyang Yang
Mingcai Chen
Juan Jiang
Hongtao Luo
Chongjun Wang
TTA
97
31
0
09 Sep 2021
1