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C-SFDA: A Curriculum Learning Aided Self-Training Framework for
  Efficient Source Free Domain Adaptation

C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation

30 March 2023
Nazmul Karim
Niluthpol Chowdhury Mithun
Abhinav Rajvanshi
Han-Pang Chiu
S. Samarasekera
Nazanin Rahnavard
    TTA
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Papers citing "C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation"

50 / 70 papers shown
Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
205
488
0
26 Feb 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
Ahmad Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
200
2
0
15 Feb 2025
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Peihua Deng
Jiehua Zhang
Xichun Sheng
C. Yan
Yaoqi Sun
Ying Fu
Liang-Sheng Li
CLL
144
1
0
25 Nov 2024
Source-Free Domain Adaptation via Distribution Estimation
Source-Free Domain Adaptation via Distribution Estimation
Ning Ding
Yixing Xu
Yehui Tang
Chao Xu
Yunhe Wang
Dacheng Tao
TTA
44
115
0
24 Apr 2022
Contrastive Test-Time Adaptation
Contrastive Test-Time Adaptation
Dian Chen
Dequan Wang
Trevor Darrell
Sayna Ebrahimi
TTA
51
264
0
21 Apr 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
101
419
0
25 Mar 2022
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic
  Segmentation
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
Ruihuang Li
Shuai Li
Chenhang He
Yabin Zhang
Xu Jia
Lei Zhang
72
84
0
18 Mar 2022
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain
  Adaptation
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
94
244
0
08 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy
  Annotations
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
Sheng Liu
Kangning Liu
Weicheng Zhu
Yiqiu Shen
C. Fernandez‐Granda
NoLa
76
105
0
07 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
203
219
0
07 Oct 2021
Generalized Source-free Domain Adaptation
Generalized Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
66
254
0
03 Aug 2021
AUGCO: Augmentation Consistency-guided Self-training for Source-free
  Domain Adaptive Semantic Segmentation
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
TTA
49
21
0
21 Jul 2021
Predicting with Confidence on Unseen Distributions
Predicting with Confidence on Unseen Distributions
Devin Guillory
Vaishaal Shankar
Sayna Ebrahimi
Trevor Darrell
Ludwig Schmidt
UQCV
OOD
48
120
0
07 Jul 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime
  Semantic Segmentation
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Xinyi Wu
Zhenyao Wu
Haojie Guo
L. Ju
Song Wang
125
145
0
22 Apr 2021
Source-Free Domain Adaptation for Semantic Segmentation
Source-Free Domain Adaptation for Semantic Segmentation
Yuang Liu
Wei Zhang
Jun Wang
43
253
0
30 Mar 2021
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
Jiayi Tian
Jing Zhang
Wen Li
Dong Xu
TTA
32
96
0
26 Mar 2021
Transferable Semantic Augmentation for Domain Adaptation
Transferable Semantic Augmentation for Domain Adaptation
Shuang Li
Mixue Xie
Kaixiong Gong
Chi Harold Liu
Yulin Wang
Wei Li
TTA
57
126
0
23 Mar 2021
Uncertainty-guided Model Generalization to Unseen Domains
Uncertainty-guided Model Generalization to Unseen Domains
Fengchun Qiao
Xi Peng
OOD
UQCV
67
61
0
12 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
93
177
0
05 Mar 2021
Learning Frequency Domain Approximation for Binary Neural Networks
Learning Frequency Domain Approximation for Binary Neural Networks
Yixing Xu
Kai Han
Chang Xu
Yehui Tang
Chunjing Xu
Yunhe Wang
MQ
62
55
0
01 Mar 2021
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person
  Re-identification
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
Hao Feng
Minghao Chen
Jinming Hu
Dong Shen
Haifeng Liu
Deng Cai
48
66
0
29 Jan 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for
  Domain Adaptive Semantic Segmentation
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
168
496
0
26 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
545
40,739
0
22 Oct 2020
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei
Chuang Zhu
Jiaqi Zou
Shanghang Zhang
71
307
0
27 Aug 2020
Contextual-Relation Consistent Domain Adaptation for Semantic
  Segmentation
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
Jiaxing Huang
Shijian Lu
Dayan Guan
Xiaobing Zhang
145
125
0
05 Jul 2020
Domain Adaptation without Source Data
Domain Adaptation without Source Data
Youngeun Kim
Donghyeon Cho
Kyeongtak Han
Priyadarshini Panda
Sungeun Hong
TTA
91
176
0
03 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
99
563
0
30 Jun 2020
Graph Optimal Transport for Cross-Domain Alignment
Graph Optimal Transport for Cross-Domain Alignment
Liqun Chen
Zhe Gan
Yu Cheng
Linjie Li
Lawrence Carin
Jingjing Liu
OT
85
152
0
26 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under
  Covariate Shift
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado
Shreyas Padhy
D. Sculley
Alexander DÁmour
Balaji Lakshminarayanan
Jasper Snoek
OOD
AI4TS
85
247
0
19 Jun 2020
Domain Conditioned Adaptation Network
Domain Conditioned Adaptation Network
Shuang Li
Chi Harold Liu
Qiuxia Lin
Binhui Xie
Zhengming Ding
Gao Huang
Jian Tang
OOD
37
103
0
14 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
141
4,532
0
23 Apr 2020
Unsupervised Intra-domain Adaptation for Semantic Segmentation through
  Self-Supervision
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
Fei Pan
Inkyu Shin
François Rameau
Seokju Lee
In So Kweon
SSL
67
372
0
16 Apr 2020
Universal Source-Free Domain Adaptation
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLM
TTA
61
342
0
09 Apr 2020
Towards Inheritable Models for Open-Set Domain Adaptation
Towards Inheritable Models for Open-Set Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
R. Ambareesh
V. RahulM.
R. Venkatesh Babu
VLM
50
118
0
09 Apr 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang
Ke Chen
Kui Jia
CML
OOD
59
272
0
19 Mar 2020
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
199
108
0
05 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
95
1,238
0
20 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
335
18,721
0
13 Feb 2020
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Chao Chen
Zhihang Fu
Zhihong Chen
Sheng Jin
Zhaowei Cheng
Xinyu Jin
Xiansheng Hua
58
201
0
27 Dec 2019
PolyTransform: Deep Polygon Transformer for Instance Segmentation
PolyTransform: Deep Polygon Transformer for Instance Segmentation
Justin Liang
N. Homayounfar
Wei-Chiu Ma
Yuwen Xiong
Rui Hu
R. Urtasun
ViT
ISeg
51
175
0
05 Dec 2019
Unsupervised Domain Adaptation via Structured Prediction Based Selective
  Pseudo-Labeling
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Qian Wang
T. Breckon
OOD
60
212
0
18 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
175
12,065
0
13 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
296
2,387
0
11 Nov 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction
  to Concepts and Methods
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PER
UD
214
1,405
0
21 Oct 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
340
795
0
26 Aug 2019
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
Jaehoon Choi
Minki Jeong
Taekyung Kim
Changick Kim
48
95
0
01 Aug 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when
  Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Claudio Michaelis
Benjamin Mitzkus
Robert Geirhos
E. Rusak
Oliver Bringmann
Alexander S. Ecker
Matthias Bethge
Wieland Brendel
3DPC
95
444
0
17 Jul 2019
Semi-supervised Domain Adaptation via Minimax Entropy
Semi-supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Trevor Darrell
Kate Saenko
68
620
0
13 Apr 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
124
541
0
10 Mar 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
102
834
0
04 Jan 2019
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