ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.14577
  4. Cited By
Unsupervised Robust Domain Adaptation without Source Data

Unsupervised Robust Domain Adaptation without Source Data

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
26 March 2021
Peshal Agarwal
D. Paudel
Jan-Nico Zaech
Luc Van Gool
    OODTTA
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Robust Domain Adaptation without Source Data"

19 / 19 papers shown
Source-Free Object Detection with Detection Transformer
Source-Free Object Detection with Detection TransformerIEEE Transactions on Image Processing (IEEE TIP), 2025
Huizai Yao
Sicheng Zhao
Shuo Lu
Hui Chen
Yangyang Li
Guoping Liu
Tengfei Xing
C. Yan
Jianhua Tao
Guiguang Ding
ViT
132
5
0
13 Oct 2025
Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
Rini Smita Thakur
Rajeev Ranjan Dwivedi
Vinod K. Kurmi
219
0
0
12 Sep 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source DataComputer Vision and Pattern Recognition (CVPR), 2020
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
869
571
0
26 Feb 2025
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
Bharadwaj Ravichandran
Alexander Lynch
S. Brockman
Brandon RichardWebster
Dawei Du
A. Hoogs
Christopher Funk
ObjDVLM
457
0
0
20 Dec 2024
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature
  Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Lorenzo Rosasco
Lorenzo Natale
382
0
0
01 Sep 2024
Source-Free Domain Adaptation of Weakly-Supervised Object Localization
  Models for Histology
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology
Alexis Guichemerre
Soufiane Belharbi
Tsiry Mayet
Shakeeb Murtaza
Pourya Shamsolmoali
Luke McCaffrey
Eric Granger
OOD
429
12
0
29 Apr 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An
  In-depth Empirical Analysis
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
384
1
0
25 Feb 2024
Source-Free Domain Adaptation for RGB-D Semantic Segmentation with
  Vision Transformers
Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers
Giulia Rizzoli
Donald Shenaj
Pietro Zanuttigh
ViT
473
17
0
23 May 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution ShiftsInternational Journal of Computer Vision (IJCV), 2023
Jian Liang
Ran He
Tien-Ping Tan
OODVLMTTA
436
455
0
27 Mar 2023
Open-World Pose Transfer via Sequential Test-Time Adaption
Open-World Pose Transfer via Sequential Test-Time Adaption
Junyang Chen
Xiaoyu Xian
Zhi Yang
Tianshui Chen
Yongyi Lu
Yukai Shi
Jin-shan Pan
Guanbin Li
TTA
215
3
0
20 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Lijun Sheng
Jian Liang
Ran He
Zilei Wang
Tien-Ping Tan
AAML
319
6
0
19 Mar 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
TeSLA: Test-Time Self-Learning With Automatic Adversarial AugmentationComputer Vision and Pattern Recognition (CVPR), 2023
Devavrat Tomar
Guillaume Vray
Behzad Bozorgtabar
Jean-Philippe Thiran
TTA
277
46
0
17 Mar 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain AdaptationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
Mengqi Li
TTA
474
232
0
23 Feb 2023
Adversarial Alignment for Source Free Object Detection
Adversarial Alignment for Source Free Object DetectionAAAI Conference on Artificial Intelligence (AAAI), 2023
Qi Chu
Shuyan Li
Guangyi Chen
Kai Li
Xiu Li
387
59
0
11 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A SurveyNeural Networks (NN), 2022
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
563
178
0
31 Dec 2022
Source-free Depth for Object Pop-out
Source-free Depth for Object Pop-outIEEE International Conference on Computer Vision (ICCV), 2022
Zongwei Wu
D. Paudel
Deng-Ping Fan
Jingjing Wang
Shuo Wang
C. Demonceaux
Radu Timofte
Luc Van Gool
453
105
0
10 Dec 2022
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization
  and Nearest Source Prototypes
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source PrototypesEuropean Conference on Computer Vision (ECCV), 2022
Sungha Choi
Seunghan Yang
Seokeon Choi
Sungrack Yun
TTAOOD
262
86
0
24 Jul 2022
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
361
56
0
31 Dec 2021
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.5K
5,156
0
17 Feb 2017
1
Page 1 of 1