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Generative Pseudo-label Refinement for Unsupervised Domain Adaptation

Generative Pseudo-label Refinement for Unsupervised Domain Adaptation

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
9 January 2020
Pietro Morerio
Riccardo Volpi
R. Ragonesi
Vittorio Murino
ArXiv (abs)PDFHTML

Papers citing "Generative Pseudo-label Refinement for Unsupervised Domain Adaptation"

25 / 25 papers shown
Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast
Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast
Ying Wang
Zhaodong Sun
Xu Cheng
Zuxian He
Xiaobai Li
73
0
0
11 Nov 2025
Domain Adaptation via Feature Refinement
Domain Adaptation via Feature Refinement
S. Karatsiolis
A. Kamilaris
OOD
137
1
0
22 Aug 2025
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake AttributionIEEE transactions on multimedia (TMM), 2025
Ming-Hui Liu
Xiao-Qian Liu
Xin Luo
Xin-Shun Xu
267
3
0
07 May 2025
Enhancing Source-Free Domain Adaptive Object Detection with
  Low-confidence Pseudo Label Distillation
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
Ilhoon Yoon
Hyeongjun Kwon
Jin-Hwa Kim
Junyoung Park
Hyunsung Jang
Kwanghoon Sohn
299
15
0
18 Jul 2024
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation
  with Target-private Class Segregation
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
Mattia Litrico
Davide Talon
Sebastiano Battiato
Alessio Del Bue
M. Giuffrida
Pietro Morerio
UQCV
194
1
0
16 Apr 2024
Domain Adaptation Using Pseudo Labels
Domain Adaptation Using Pseudo Labels
S. Chhabra
Hemanth Venkateswara
Baoxin Li
287
1
0
09 Feb 2024
Source-free Video Domain Adaptation by Learning from Noisy Labels
Source-free Video Domain Adaptation by Learning from Noisy LabelsPattern Recognition (Pattern Recogn.), 2023
A. Dasgupta
C. V. Jawahar
Karteek Alahari
TTAVLM
507
13
0
30 Nov 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
Towards Understanding GD with Hard and Conjugate Pseudo-labels for
  Test-Time Adaptation
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time AdaptationInternational Conference on Learning Representations (ICLR), 2022
Jun-Kun Wang
Andre Wibisono
676
11
0
18 Oct 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain AdaptationInternational Conference on Machine Learning (ICML), 2022
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
223
104
0
16 Jun 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
CAFA: Class-Aware Feature Alignment for Test-Time AdaptationIEEE International Conference on Computer Vision (ICCV), 2022
Sanghun Jung
Jungsoo Lee
Nanhee Kim
Amirreza Shaban
Byron Boots
Jaegul Choo
OODTTA
463
22
0
01 Jun 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
222
39
0
28 May 2022
Estimating Egocentric 3D Human Pose in the Wild with External Weak
  Supervision
Estimating Egocentric 3D Human Pose in the Wild with External Weak SupervisionComputer Vision and Pattern Recognition (CVPR), 2022
Jian Wang
Lingjie Liu
Weipeng Xu
Kripasindhu Sarkar
D. Luvizon
Christian Theobalt
EgoV
145
42
0
20 Jan 2022
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift
  Estimation
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift EstimationIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2021
Joachim Nyborg
Charlotte Pelletier
Sébastien Lefèvre
Ira Assent
OODAI4TS
275
52
0
04 Nov 2021
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Tongkun Xu
Weihua Chen
Pichao Wang
Fan Wang
Hao Li
Rong Jin
ViT
595
277
0
13 Sep 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature
  Restoration
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
TTA
222
58
0
12 Jul 2021
Unsupervised domain adaptation via double classifiers based on high
  confidence pseudo label
Unsupervised domain adaptation via double classifiers based on high confidence pseudo label
Hui Chen
Li Li
Jie-bin Chen
Kuo-Yi Lin
184
2
0
11 May 2021
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for
  Source-Free Unsupervised Domain Adaptation
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation
Waqar Ahmed
Pietro Morerio
Vittorio Murino
177
4
0
29 Mar 2021
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Dynamic Weighted Learning for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2021
Ning Xiao
Lei Zhang
165
171
0
22 Mar 2021
Unsupervised Domain Adaptation of Black-Box Source Models
Unsupervised Domain Adaptation of Black-Box Source ModelsBritish Machine Vision Conference (BMVC), 2021
Haojian Zhang
Yabin Zhang
Kui Jia
Lei Zhang
344
61
0
08 Jan 2021
Domain Adaptive Knowledge Distillation for Driving Scene Semantic
  Segmentation
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation
D. Kothandaraman
Athira M. Nambiar
Anurag Mittal
CLL
148
28
0
03 Nov 2020
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
Adversarial Dual Distinct Classifiers for Unsupervised Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Taotao Jing
Zhengming Ding
235
14
0
27 Aug 2020
On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation
Bin Yu
Ke Sun
He Wang
Zhouchen Lin
Zhanxing Zhu
192
0
0
14 Jun 2020
Unsupervised Domain Adaptation with Progressive Domain Augmentation
Unsupervised Domain Adaptation with Progressive Domain Augmentation
Kevin Hua
Yuhong Guo
144
3
0
03 Apr 2020
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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