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DINE: Domain Adaptation from Single and Multiple Black-box Predictors
v1v2v3 (latest)

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

Computer Vision and Pattern Recognition (CVPR), 2021
4 April 2021
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
ArXiv (abs)PDFHTMLGithub (80★)

Papers citing "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

50 / 52 papers shown
Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
Muhammad Furqon
Mahardhika Pratama
Igor Skrjanc
Lin Liu
Habibullah Habibullah
K. Doğançay
AI4TS
187
0
0
01 Oct 2025
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
Changán Yi
Xiaohui Deng
Shuaicheng Niu
Yan Zhou
187
0
0
26 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
Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method
Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method
Masoumeh Sharafi
Soufiane Belharbi
Houssem Ben Salem
Ali Etemad
A. L. Koerich
M. Pedersoli
Simon L Bacon
Mohammadhadi Shateri
Eric Granger
233
5
0
08 Aug 2025
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning
Sijia Wang
Ricardo Henao
226
0
0
04 Aug 2025
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation
Xinya Liu
Jianghao Wu
Ankit Dhiman
Shaoting Zhang
Guotai Wang
MedIm
282
5
0
11 Jun 2025
ElimPCL: Eliminating Noise Accumulation with Progressive Curriculum Labeling for Source-Free Domain Adaptation
ElimPCL: Eliminating Noise Accumulation with Progressive Curriculum Labeling for Source-Free Domain Adaptation
Jie Cheng
Hao Zheng
Meiguang Zheng
Lei Wang
Hao Wu
Jian Zhang
VLM
195
0
0
31 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
869
571
0
26 Feb 2025
Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras
Event USKT : U-State Space Model in Knowledge Transfer for Event Cameras
Yuhui Lin
Jiahao Zhang
Siyuan Li
Jimin Xiao
Ding Xu
Wenjun Wu
Jiaxuan Lu
295
2
0
22 Nov 2024
EventDance++: Language-guided Unsupervised Source-free Cross-modal
  Adaptation for Event-based Object Recognition
EventDance++: Language-guided Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
Xu Zheng
Lin Wang
459
2
0
19 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
336
4
0
26 May 2024
More is Better: Deep Domain Adaptation with Multiple Sources
More is Better: Deep Domain Adaptation with Multiple Sources
Sicheng Zhao
Hui Chen
Hu Huang
Pengfei Xu
Guiguang Ding
299
13
0
01 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
384
25
0
07 Apr 2024
EventDance: Unsupervised Source-free Cross-modal Adaptation for
  Event-based Object Recognition
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
Xueye Zheng
Lin Wang
TTA
326
33
0
21 Mar 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2024
Prakhar Kaushik
Adam Kortylewski
Yaoyao Liu
268
7
0
12 Mar 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
373
3
0
05 Feb 2024
Semantic Connectivity-Driven Pseudo-labeling for Cross-domain
  Segmentation
Semantic Connectivity-Driven Pseudo-labeling for Cross-domain Segmentation
Dong Zhao
Rui Yang
Shuang Wang
Qi Zang
Yang Hu
Licheng Jiao
Andrii Zadaianchuk
Zhun Zhong
288
8
0
11 Dec 2023
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
UFDA: Universal Federated Domain Adaptation with Practical AssumptionsAAAI Conference on Artificial Intelligence (AAAI), 2023
Xinhui Liu
Huan Wang
Luping Zhou
Dong Xu
Wei Xi
Gairui Bai
Yihan Zhao
Jizhong Zhao
480
12
0
27 Nov 2023
MDFL: Multi-domain Diffusion-driven Feature Learning
MDFL: Multi-domain Diffusion-driven Feature Learning
Daixun Li
Weiying Xie
Jiaqing Zhang
Yunsong Li
DiffM
374
19
0
16 Nov 2023
SODA: Robust Training of Test-Time Data Adaptors
SODA: Robust Training of Test-Time Data AdaptorsNeural Information Processing Systems (NeurIPS), 2023
Zige Wang
Yonggang Zhang
Zhen Fang
Long Lan
Wenjing Yang
Bo Han
295
2
0
17 Oct 2023
Make the U in UDA Matter: Invariant Consistency Learning for
  Unsupervised Domain Adaptation
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain AdaptationNeural Information Processing Systems (NeurIPS), 2023
Zhongqi Yue
Hanwang Zhang
Qianru Sun
OOD
363
32
0
22 Sep 2023
DAD++: Improved Data-free Test Time Adversarial Defense
DAD++: Improved Data-free Test Time Adversarial Defense
Gaurav Kumar Nayak
Inder Khatri
Shubham Randive
Ruchit Rawal
Anirban Chakraborty
AAML
334
3
0
10 Sep 2023
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
344
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
370
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
376
4
0
02 Aug 2023
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation
Long-Yu Liu
Bo Zhou
Zhipeng Zhao
Zening Liu
378
0
0
26 Jul 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
251
0
0
14 Jul 2023
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?International Conference on Learning Representations (ICLR), 2023
Jianfei Yang
Hanjie Qian
Yuecong Xu
Kai Wang
Lihua Xie
370
15
0
30 May 2023
Black-box Source-free Domain Adaptation via Two-stage Knowledge
  Distillation
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Shuai Wang
Daoan Zhang
Zipei Yan
Shitong Shao
Ruizhen Li
329
2
0
13 May 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
Hao Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei Chen
Shuicheng Yan
CLLTTA
269
5
0
13 Apr 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
433
455
0
27 Mar 2023
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning
  Inverse Gram Matrices
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesComputer Vision and Pattern Recognition (CVPR), 2023
Ismail Nejjar
Qin Wang
Olga Fink
268
59
0
23 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
315
6
0
19 Mar 2023
Confidence Attention and Generalization Enhanced Distillation for
  Continuous Video Domain Adaptation
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Xiyu Wang
Yuecong Xu
Jianfei Yang
Xiaoli Li
Zhenghua Chen
TTA
321
1
0
18 Mar 2023
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
Augmenting and Aligning Snippets for Few-Shot Video Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2023
Yuecong Xu
Jianfei Yang
Yunjiao Zhou
Zhenghua Chen
Ruibing Jin
Xiaoli Li
220
9
0
18 Mar 2023
Supervision Interpolation via LossMix: Generalizing Mixup for Object
  Detection and Beyond
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and BeyondAAAI Conference on Artificial Intelligence (AAAI), 2023
Thanh Tien Vu
Baochen Sun
Bodi Yuan
Alex Ngai
Yueqi Li
Jan-Michael Frahm
417
7
0
18 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
276
0
0
07 Mar 2023
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free
  Domain Adaptive Keypoint Detection
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
Yuhe Ding
Jian Liang
Bo Jiang
A. Zheng
Ran He
3DPC
350
13
0
09 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
562
178
0
31 Dec 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
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
320
5
0
10 Aug 2022
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for
  Multi-Source Domain Adaptation
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation
Tong Xu
Lin Wang
Wu Ning
Chunyan Lyu
Kejun Wang
Chenhui Wang
216
0
0
05 Aug 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain
  Adaptation
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain AdaptationInternational Journal of Computer Vision (IJCV), 2022
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
454
8
0
19 Jul 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
174
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
277
39
0
28 May 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Hailan Lin
Qijie Wei
Xirong Li
Ruixiang Zhao
Xirong Li
479
1
0
04 Apr 2022
Black-box Prompt Learning for Pre-trained Language Models
Black-box Prompt Learning for Pre-trained Language Models
Shizhe Diao
Zhichao Huang
Ruijia Xu
Xuechun Li
Yong Lin
Xiao Zhou
Tong Zhang
VLMAAML
361
88
0
21 Jan 2022
Source Data-Free Cross-Domain Semantic Segmentation: Align, Teach and
  Propagate
Source Data-Free Cross-Domain Semantic Segmentation: Align, Teach and PropagateIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yuxi Wang
Jian Liang
Zhaoxiang Zhang
456
18
0
22 Jun 2021
12
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