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Uncertainty-guided Source-free Domain Adaptation

Uncertainty-guided Source-free Domain Adaptation

European Conference on Computer Vision (ECCV), 2022
16 August 2022
Subhankar Roy
Martin Trapp
Andrea Pilzer
Arno Solin
Andrii Zadaianchuk
Elisa Ricci
Arno Solin
    EDLTTAUQLMUQCV
ArXiv (abs)PDFHTML

Papers citing "Uncertainty-guided Source-free Domain Adaptation"

46 / 46 papers shown
Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
Huisoo Lee
Jisu Han
Hyunsouk Cho
Wonjun Hwang
TTAVLMAI4CE
257
0
0
24 Nov 2025
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-PromptingIEEE Transactions on Medical Imaging (IEEE TMI), 2025
Zheang Huai
Hui Tang
Yi Li
Zhe Chen
Xiaomeng Li
VLM
461
1
0
13 May 2025
DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection
DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change DetectionIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), 2025
Ningyu Zhang
Xin Xu
Fangling Pu
219
0
0
18 Apr 2025
S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
Yujin Wang
Jiarui Wu
Yichen Bian
Fan Zhang
Tianfan Xue
203
1
0
10 Apr 2025
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Universal Incremental Learning: Mitigating Confusion from Inter- and Intra-task Distribution Randomness
Sheng Luo
Yi Zhou
Tao Zhou
CLL
424
0
0
10 Mar 2025
Multi-Level Collaboration in Model Merging
Qi Li
Runpeng Yu
Xinchao Wang
MoMeFedML
301
0
0
03 Mar 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
755
562
0
26 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution ShiftsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Sameer Ambekar
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
OOD
450
2
0
15 Feb 2025
Label Calibration in Source Free Domain Adaptation
Label Calibration in Source Free Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Shivangi Rai
Rini Smita Thakur
Kunal Jangid
Vinod K. Kurmi
UQCV
304
2
0
13 Jan 2025
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data,
  Flexible Views, and Transformed Domains
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed DomainsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Fardad Dadboud
Hamid Azad
Varun Mehta
M. Bolic
Iraj Mntegh
293
5
0
06 Dec 2024
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual
  Learning
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
Haiyang Guo
Fei Zhu
Fanhu Zeng
Bing Liu
Xu-Yao Zhang
MoMeCLL
341
5
0
28 Nov 2024
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
Ismail Nejjar
Hao Dong
Olga Fink
TTABDL
371
4
0
19 Nov 2024
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction
  with Neural Collapse Principles
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles
Zicheng Pan
Xiaohan Yu
Yongsheng Gao
281
0
0
23 Jul 2024
Proxy Denoising for Source-Free Domain Adaptation
Proxy Denoising for Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
Xiatian Zhu
422
11
0
03 Jun 2024
High-order Neighborhoods Know More: HyperGraph Learning Meets
  Source-free Unsupervised Domain Adaptation
High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation
Jinkun Jiang
Qingxuan Lv
Yuezun Li
Yong Du
Sheng Chen
Hui Yu
Junyu Dong
265
0
0
11 May 2024
Source-Free Domain Adaptation Guided by Vision and Vision-Language
  Pre-Training
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-TrainingInternational Journal of Computer Vision (IJCV), 2024
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
VLMTTA
295
13
0
05 May 2024
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised
  Domain Adaptation
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
Xi Chen
Haosen Yang
Huicong Zhang
Hongxun Yao
Xiatian Zhu
265
17
0
17 Mar 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge
  Distillation
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge DistillationInternational Conference on Learning Representations (ICLR), 2024
Zihao Tang
Zheqi Lv
Shengyu Zhang
Yifan Zhou
Xinyu Duan
Leilei Gan
Kun Kuang
365
4
0
11 Mar 2024
Enhancing Information Maximization with Distance-Aware Contrastive
  Learning for Source-Free Cross-Domain Few-Shot Learning
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
Huali Xu
Tianpeng Liu
Shuaifeng Zhi
Shaojing Fu
Z. Su
Ming-Ming Cheng
Yongxiang Liu
236
21
0
04 Mar 2024
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in
  Regression
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression
Ismail Nejjar
Gaetan Frusque
Florent Forest
Olga Fink
EDL
295
4
0
24 Jan 2024
Emotion-Aware Contrastive Adaptation Network for Source-Free
  Cross-Corpus Speech Emotion Recognition
Emotion-Aware Contrastive Adaptation Network for Source-Free Cross-Corpus Speech Emotion RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Yan Zhao
Jincen Wang
Cheng Lu
Sunan Li
Bjorn Schuller
Yuan Zong
Wenming Zheng
175
4
0
23 Jan 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
De-Confusing Pseudo-Labels in Source-Free Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2024
I. Diamant
Amir Rosenfeld
Idan Achituve
Jacob Goldberger
Arnon Netzer
315
4
0
03 Jan 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty
  from Pre-trained Models
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
Angela Yao
UQCVBDL
220
16
0
23 Dec 2023
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual
  Test-Time Adaptation
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
Jiaming Liu
Ran Xu
Senqiao Yang
Renrui Zhang
Qizhe Zhang
Zehui Chen
Yandong Guo
Shanghang Zhang
TTA
267
26
0
19 Dec 2023
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain
  Adaptation
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Sunandini Sanyal
Ashish Ramayee Asokan
Suvaansh Bhambri
YM Pradyumna
Akshay Ravindra Kulkarni
Jogendra Nath Kundu
R. V. Babu
CML
220
7
0
27 Nov 2023
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Source-Free Domain Adaptation with Frozen Multimodal Foundation ModelComputer Vision and Pattern Recognition (CVPR), 2023
Song Tang
Wenxin Su
Mao Ye
Xiatian Zhu
VLM
435
64
0
27 Nov 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained
  Large Models Fine-Tuning
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
Shuoran Jiang
Qingcai Chen
Yang Xiang
Youcheng Pan
Xiangping Wu
AI4CE
285
1
0
24 Oct 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning
AdaMerging: Adaptive Model Merging for Multi-Task LearningInternational Conference on Learning Representations (ICLR), 2023
Enneng Yang
Zhenyi Wang
Li Shen
Shiwei Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
MoMe
337
189
0
04 Oct 2023
Distribution-Aware Continual Test-Time Adaptation for Semantic
  Segmentation
Distribution-Aware Continual Test-Time Adaptation for Semantic SegmentationIEEE International Conference on Robotics and Automation (ICRA), 2023
Jiayin Ni
Senqiao Yang
Ran Xu
Jiaming Liu
Xiaoqi Li
Wenyu Jiao
Zehui Chen
Yi Liu
Shanghang Zhang
TTA
290
12
0
24 Sep 2023
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive
  Fundus Image Segmentation
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zheang Huai
Xinpeng Ding
Yi Li
Xiaomeng Li
301
19
0
15 Aug 2023
Distill-SODA: Distilling Self-Supervised Vision Transformer for
  Source-Free Open-Set Domain Adaptation in Computational Pathology
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational PathologyIEEE Transactions on Medical Imaging (TMI), 2023
Guillaume Vray
Devavrat Tomar
Jean-Philippe Thiran
Behzad Bozorgtabar
MedIm
164
2
0
10 Jul 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency
  Training
Universal Semi-supervised Model Adaptation via Collaborative Consistency TrainingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zizheng Yan
Yushuang Wu
Yipeng Qin
Xiaoguang Han
Shuguang Cui
Guanbin Li
295
1
0
07 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models
Uddeshya Upadhyay
Shyamgopal Karthik
Goran Frehse
Zeynep Akata
MLLMVLM
477
6
0
01 Jul 2023
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time
  Adaptation
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time AdaptationInternational Conference on Learning Representations (ICLR), 2023
Jiaming Liu
Senqiao Yang
Peidong Jia
Renrui Zhang
Ming Lu
Yandong Guo
Wei Xue
Shanghang Zhang
TTAOODVLM
410
60
0
07 Jun 2023
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging
  Analysis
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging AnalysisIEEE International Conference on Computer Vision (ICCV), 2023
Nicola K. Dinsdale
M. Jenkinson
Ana I. L. Namburete
265
2
0
28 Mar 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
326
396
0
27 Mar 2023
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionAAAI Conference on Artificial Intelligence (AAAI), 2023
Senqiao Yang
Jiarui Wu
Jiaming Liu
Xiaoqi Li
Qizhe Zhang
Mingjie Pan
Yulu Gan
Zehui Chen
Shanghang Zhang
MDEVLM
302
33
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
379
198
0
23 Feb 2023
In Search for a Generalizable Method for Source Free Domain Adaptation
In Search for a Generalizable Method for Source Free Domain AdaptationInternational Conference on Machine Learning (ICML), 2023
Malik Boudiaf
Tom Denton
B. V. Merrienboer
Vincent Dumoulin
Eleni Triantafillou
TTA
271
22
0
13 Feb 2023
Fixing Overconfidence in Dynamic Neural Networks
Fixing Overconfidence in Dynamic Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Lassi Meronen
Martin Trapp
Andrea Pilzer
Le Yang
Arno Solin
BDL
388
24
0
13 Feb 2023
Contrast and Clustering: Learning Neighborhood Pair Representation for
  Source-free Domain Adaptation
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation
Yuqi Chen
Xiangbin Zhu
Yonggang Li
Yingjian Li
H. Fang
SSL
379
4
0
31 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
521
149
0
31 Dec 2022
Rethinking the Role of Pre-Trained Networks in Source-Free Domain
  Adaptation
Rethinking the Role of Pre-Trained Networks in Source-Free Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2022
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
TTAAI4CE
244
22
0
15 Dec 2022
Transfer Learning with Uncertainty Quantification: Random Effect
  Calibration of Source to Target (RECaST)
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
Jimmy Hickey
Jonathan P. Williams
Emily C. Hector
UQCVBDL
197
5
0
29 Nov 2022
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free
  Domain Adaptation
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain AdaptationNeural Networks (NN), 2022
Yuhe Ding
Lijun Sheng
Jian Liang
A. Zheng
Ran He
288
59
0
29 May 2022
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.1K
5,075
0
17 Feb 2017
1
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