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Confidence Score for Source-Free Unsupervised Domain Adaptation

Confidence Score for Source-Free Unsupervised Domain Adaptation

14 June 2022
Jonghyun Lee
Dahuin Jung
Junho Yim
Sung-Hoon Yoon
    TTA
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Papers citing "Confidence Score for Source-Free Unsupervised Domain Adaptation"

45 / 45 papers shown
Title
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
Haishan Wang
Mohammad Hassan Vali
Arno Solin
3DGS
59
0
0
03 Apr 2025
ViLAaD: Enhancing "Attracting and Dispersing'' Source-Free Domain Adaptation with Vision-and-Language Model
ViLAaD: Enhancing "Attracting and Dispersing'' Source-Free Domain Adaptation with Vision-and-Language Model
Shuhei Tarashima
Xinqi Shu
Norio Tagawa
VLM
51
0
0
30 Mar 2025
Federated Source-free Domain Adaptation for Classification: Weighted
  Cluster Aggregation for Unlabeled Data
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
Junki Mori
Kosuke Kihara
Taiki Miyagawa
Akinori F. Ebihara
Isamu Teranishi
Hisashi Kashima
76
1
0
18 Dec 2024
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and
  Flowing Data
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
Wenxin Su
Song Tang
Xiaofeng Liu
Xiaojing Yi
Mao Ye
Chunxiao Zu
Jiahao Li
Xiatian Zhu
OOD
MedIm
83
0
0
02 Dec 2024
DRIVE: Dual-Robustness via Information Variability and Entropic
  Consistency in Source-Free Unsupervised Domain Adaptation
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation
Ruiqiang Xiao
Songning Lai
Yijun Yang
Jiemin Wu
Yutao Yue
Lei Zhu
AAML
73
0
0
24 Nov 2024
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free
  Unsupervised Domain Adaptation
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation
Yongguang Li
Yueqi Cao
Jindong Li
Qi Wang
Shengsheng Wang
30
1
0
21 Oct 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
36
0
0
23 Jul 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for
  Tabular Data
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
Andrej Tschalzev
Sascha Marton
Stefan Lüdtke
Christian Bartelt
Heiner Stuckenschmidt
LMTD
39
4
0
02 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
67
1
0
03 Jun 2024
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
Dongjie Chen
Kartik Patwari
Zhengfeng Lai
S. Cheung
Chen-Nee Chuah
Chen-Nee Chuah
45
0
0
28 May 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
38
0
0
11 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
41
2
0
17 Mar 2024
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Yeongtak Oh
Jonghyun Lee
Jooyoung Choi
Dahuin Jung
Uiwon Hwang
Sungroh Yoon
TTA
DiffM
39
3
0
16 Mar 2024
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data
  Augmentation
SF(DA)2^22: Source-free Domain Adaptation Through the Lens of Data Augmentation
Uiwon Hwang
Jonghyun Lee
Juhyeon Shin
Sungroh Yoon
36
10
0
16 Mar 2024
Unified Source-Free Domain Adaptation
Unified Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
93
5
0
12 Mar 2024
Entropy is not Enough for Test-Time Adaptation: From the Perspective of
  Disentangled Factors
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
Jonghyun Lee
Dahuin Jung
Saehyung Lee
Junsung Park
Juhyeon Shin
Uiwon Hwang
Sungroh Yoon
TTA
AAML
32
31
0
12 Mar 2024
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation
Juhyeon Shin
Jonghyun Lee
Saehyung Lee
Minjun Park
Dongjun Lee
Uiwon Hwang
Sungroh Yoon
29
1
0
14 Feb 2024
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation
  of Prediction Rationale
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu
Xiaofeng Cao
Qi Chen
Bowen Zhang
Ziqin Zhou
Anton Van Den Hengel
Lingqiao Liu
23
0
0
02 Feb 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free
  Domain Adaptation
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
Hyeonwoo Cho
Chanmin Park
Donghee Kim
Jinyoung Kim
Won Hwa Kim
TTA
29
0
0
26 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 Recognition
Yan Zhao
Jincen Wang
Cheng Lu
Sunan Li
Bjorn Schuller
Yuan Zong
Wenming Zheng
39
3
0
23 Jan 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
I. Diamant
Amir Rosenfeld
Idan Achituve
Jacob Goldberger
Arnon Netzer
31
1
0
03 Jan 2024
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain
  Adaptation
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation
Sunandini Sanyal
Ashish Ramayee Asokan
Suvaansh Bhambri
YM Pradyumna
Akshay Ravindra Kulkarni
Jogendra Nath Kundu
R. V. Babu
CML
30
2
0
27 Nov 2023
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Song Tang
Wenxin Su
Mao Ye
Xiatian Zhu
VLM
30
21
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
21
0
0
24 Oct 2023
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain
  Adaptation for Medical Image Segmentation
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
Jianghao Wu
Guotai Wang
Ran Gu
Tao Lu
Yinan Chen
Wentao Zhu
Tom Kamiel Magda Vercauteren
Sébastien Ourselin
Shaoting Zhang
MedIm
OOD
13
22
0
19 Sep 2023
Black-box Unsupervised Domain Adaptation with Bi-directional
  Atkinson-Shiffrin Memory
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
Jingyi Zhang
Jiaxing Huang
Xue-Qiu Jiang
Shijian Lu
32
15
0
25 Aug 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
GeT: Generative Target Structure Debiasing for Domain Adaptation
Can Zhang
G. Lee
DiffM
31
2
0
20 Aug 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 Segmentation
Zheang Huai
Xinpeng Ding
Yi Li
Xiaomeng Li
36
5
0
15 Aug 2023
Incorporating Pre-training Data Matters in Unsupervised Domain
  Adaptation
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
Yinsong Xu
Aidong Men
Yang Liu
Qingchao Chen
16
0
0
06 Aug 2023
Open-Set Domain Adaptation with Visual-Language Foundation Models
Open-Set Domain Adaptation with Visual-Language Foundation Models
Qing Yu
Go Irie
Kiyoharu Aizawa
VLM
32
6
0
30 Jul 2023
On Pitfalls of Test-Time Adaptation
On Pitfalls of Test-Time Adaptation
Hao Zhao
Yuejiang Liu
Alexandre Alahi
Tao R. Lin
TTA
29
39
0
06 Jun 2023
Towards Source-free Domain Adaptive Semantic Segmentation via
  Importance-aware and Prototype-contrast Learning
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning
Yihong Cao
Hui Zhang
Xiao Lu
Zhen Xiao
Kailun Yang
Yaonan Wang
24
7
0
02 Jun 2023
Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation
Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation
Suho Lee
SeungWon Seo
Jihyo Kim
Yejin Lee
Sangheum Hwang
24
5
0
03 Apr 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
Ran He
Tien-Ping Tan
OOD
VLM
TTA
35
203
0
27 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free
  Unsupervised Domain Adaptation
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
37
59
0
07 Mar 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
13
3
0
31 Jan 2023
Chaos to Order: A Label Propagation Perspective on Source-Free Domain
  Adaptation
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation
Chunwei Wu
Guitao Cao
Yan Li
Xidong Xi
Wenming Cao
Hong Wang
TTA
24
2
0
20 Jan 2023
Adversarial Alignment for Source Free Object Detection
Adversarial Alignment for Source Free Object Detection
Qi Chu
Shuyan Li
Guangyi Chen
Kai Li
Xiu Li
20
35
0
11 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
130
90
0
31 Dec 2022
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain
  Adaptation
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation
Hao Yan
Yuhong Guo
8
4
0
15 Dec 2022
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain
  Adaptation
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
I. Diamant
Roy H. Jennings
Oranit Dror
H. Habi
Arnon Netzer
28
2
0
07 Dec 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 Adaptation
Yuhe Ding
Lijun Sheng
Jian Liang
A. Zheng
Ran He
47
47
0
29 May 2022
Visualizing Adapted Knowledge in Domain Transfer
Visualizing Adapted Knowledge in Domain Transfer
Yunzhong Hou
Liang Zheng
113
54
0
20 Apr 2021
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
Jian Liang
Yunbo Wang
Dapeng Hu
Ran He
Jiashi Feng
169
105
0
05 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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