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Unsupervised Domain Adaptation of Black-Box Source Models
v1v2 (latest)

Unsupervised Domain Adaptation of Black-Box Source Models

British Machine Vision Conference (BMVC), 2021
8 January 2021
Haojian Zhang
Yabin Zhang
Kui Jia
Lei Zhang
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Domain Adaptation of Black-Box Source Models"

32 / 32 papers shown
Source-Free Domain Adaptive Semantic Segmentation of Remote Sensing Images with Diffusion-Guided Label Enrichment
Source-Free Domain Adaptive Semantic Segmentation of Remote Sensing Images with Diffusion-Guided Label Enrichment
Wenjie Liu
Hongmin Liu
Lixin Zhang
Bin Fan
DiffM
172
0
0
23 Sep 2025
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
Yasser Benigmim
Subhankar Roy
Khalid Oublal
Imad Eddine Marouf
S. Essid
Vicky Kalogeiton
Stéphane Lathuilière
196
0
0
30 Aug 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
884
572
0
26 Feb 2025
Privacy-Preserving Brain-Computer Interfaces: A Systematic Review
Privacy-Preserving Brain-Computer Interfaces: A Systematic ReviewIEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
K. Xia
W. Duch
Y. Sun
K. Xu
W. Fang
...
Y. Zhang
D. Sang
X. Xu
F-Y Wang
D. Wu
401
53
0
16 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
388
0
0
01 Sep 2024
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Yawen Zou
Chunzhi Gu
Junzhou Yu
Shangce Gao
Chao Zhang
338
4
0
26 May 2024
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
Shurui Gui
Xiner Li
Shuiwang Ji
TTA
386
25
0
07 Apr 2024
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable
  Transfer from Black-Box to Lightweight Segmentation Model
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model
Claudia Cuttano
A. Tavera
Fabio Cermelli
Giuseppe Averta
Barbara Caputo
291
3
0
20 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Continual Domain Adversarial Adaptation via Double-Head DiscriminatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yan Shen
Zhanghexuan Ji
Chunwei Ma
Mingchen Gao
TTA
374
3
0
05 Feb 2024
Black-box Unsupervised Domain Adaptation with Bi-directional
  Atkinson-Shiffrin Memory
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin MemoryIEEE International Conference on Computer Vision (ICCV), 2023
Jingyi Zhang
Jiaxing Huang
Xue-Qiu Jiang
Shijian Lu
351
24
0
25 Aug 2023
Fast and Accurate Transferability Measurement by Evaluating Intra-class
  Feature Variance
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature VarianceIEEE International Conference on Computer Vision (ICCV), 2023
Huiwen Xu
U. Kang
378
11
0
11 Aug 2023
Curriculum Guided Domain Adaptation in the Dark
Curriculum Guided Domain Adaptation in the DarkIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
C. S. Jahan
Andreas E. Savakis
382
4
0
02 Aug 2023
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty
  Calibration in Domain Adaptation
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Dapeng Hu
Jian Liang
Xinchao Wang
Chuan-Sheng Foo
252
0
0
14 Jul 2023
Incremental Learning for Heterogeneous Structure Segmentation in Brain
  Tumor MRI
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Xiaofeng Liu
Helen A. Shih
Fangxu Xing
E. Santarnecchi
Xiaofeng Liu
Jonghye Woo
CLL
378
11
0
30 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
440
455
0
27 Mar 2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box
  Model
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
Shuai Wang
Daoan Zhang
Jiang Zhang
Weiwei Zhang
Ruizhen Li
FedML
279
0
0
07 Mar 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
318
24
0
13 Feb 2023
A Prototype-Oriented Clustering for Domain Shift with Source Privacy
A Prototype-Oriented Clustering for Domain Shift with Source Privacy
Korawat Tanwisuth
Shujian Zhang
Pengcheng He
Mingyuan Zhou
256
3
0
08 Feb 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
564
178
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 AdaptationBritish Machine Vision Conference (BMVC), 2022
Hao Yan
Yuhong Guo
231
4
0
15 Dec 2022
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced
  Attention for Unsupervised Domain Adaptation
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain AdaptationSignal processing. Image communication (SPIC), 2022
Xinyao Shu
Shiyang Yan
Zhenyu Lu
Xinshao Wang
Yuan Xie
284
2
0
16 Nov 2022
Cluster-level pseudo-labelling for source-free cross-domain facial
  expression recognition
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognitionBritish Machine Vision Conference (BMVC), 2022
Alessandro Conti
Paolo Rota
Yiming Wang
Elisa Ricci
245
9
0
11 Oct 2022
RAIN: RegulArization on Input and Network for Black-Box Domain
  Adaptation
RAIN: RegulArization on Input and Network for Black-Box Domain AdaptationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Qucheng Peng
Zhengming Ding
Lingjuan Lyu
Lichao Sun
Chen Chen
OODMLAU
314
29
0
22 Aug 2022
Unsupervised Domain Adaptation for Segmentation with Black-box Source
  Model
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model
Xiaofeng Liu
Chaehwa Yoo
Fangxu Xing
C.-C. Jay Kuo
Xiaofeng Liu
Jonghye Woo
342
19
0
16 Aug 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and
  Perspectives
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and PerspectivesAPSIPA Transactions on Signal and Information Processing (TASIP), 2022
Xiaofeng Liu
Chaehwa Yoo
Fangxu Xing
Hyejin Oh
Xiaofeng Liu
Je-Won Kang
Jonghye Woo
OOD
335
309
0
15 Aug 2022
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video
  Domain Adaptation
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation
Yuecong Xu
Jianfei Yang
Haozhi Cao
Ruibing Jin
Xiaoli Li
Lihua Xie
Zhenghua Chen
326
7
0
10 Aug 2022
Prior Knowledge Guided Unsupervised Domain Adaptation
Prior Knowledge Guided Unsupervised Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Tao Sun
Cheng Lu
Haibin Ling
177
37
0
18 Jul 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box PredictorsInternational Conference on Learning Representations (ICLR), 2022
Jianfei Yang
Xiangyu Peng
Kaidi Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
285
39
0
28 May 2022
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
362
56
0
31 Dec 2021
Domain Adaptation without Model Transferring
Domain Adaptation without Model Transferring
Kunhong Wu
Yucheng Shi
Yahong Han
Yunfeng Shao
Bingshuai Li
Qi Tian
OOD
251
0
0
21 Jul 2021
On Universal Black-Box Domain Adaptation
On Universal Black-Box Domain Adaptation
Bin Deng
Yabin Zhang
Hui Tang
Changxing Ding
Kui Jia
159
11
0
10 Apr 2021
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
DINE: Domain Adaptation from Single and Multiple Black-box PredictorsComputer Vision and Pattern Recognition (CVPR), 2021
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
309
106
0
04 Apr 2021
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