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Universal Semi-supervised Model Adaptation via Collaborative Consistency
  Training

Universal Semi-supervised Model Adaptation via Collaborative Consistency Training

7 July 2023
Zizheng Yan
Yushuang Wu
Yipeng Qin
Xiaoguang Han
Shuguang Cui
Guanbin Li
ArXivPDFHTML

Papers citing "Universal Semi-supervised Model Adaptation via Collaborative Consistency Training"

31 / 31 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
220
490
0
26 Feb 2025
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections
Mohamed Fazli Mohamed Imam
Rufael Fedaku Marew
Jameel Hassan
Mustansar Fiaz
Alham Fikri Aji
Hisham Cholakkal
VLM
481
0
0
28 Nov 2024
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain
  Adaptation
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
68
27
0
27 Jul 2022
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
53
116
0
24 Apr 2022
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy
  for Source-free Domain Adaptation
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation
Sanqing Qu
Guang Chen
Jing Zhang
Zhijun Li
Wei He
Dacheng Tao
TTA
69
58
0
06 Apr 2022
Learning Invariant Representation with Consistency and Diversity for
  Semi-supervised Source Hypothesis Transfer
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Xiaodong Wang
Junbao Zhuo
Shuhao Cui
Shuhui Wang
55
6
0
07 Jul 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain
  Adaptation
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot
Rebecca Roelofs
Kihyuk Sohn
Nicholas Carlini
Alexey Kurakin
54
142
0
08 Jun 2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
Jichang Li
Guanbin Li
Yemin Shi
Yizhou Yu
102
120
0
19 Apr 2021
OVANet: One-vs-All Network for Universal Domain Adaptation
OVANet: One-vs-All Network for Universal Domain Adaptation
Kuniaki Saito
Kate Saenko
95
150
0
07 Apr 2021
Source-Free Domain Adaptation for Semantic Segmentation
Source-Free Domain Adaptation for Semantic Segmentation
Yuang Liu
Wei Zhang
Jun Wang
54
253
0
30 Mar 2021
Attract, Perturb, and Explore: Learning a Feature Alignment Network for
  Semi-supervised Domain Adaptation
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Taekyung Kim
Changick Kim
79
139
0
18 Jul 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
149
4,547
0
23 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain
  Adaptation
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
Da Li
Timothy M. Hospedales
72
103
0
09 Apr 2020
Universal Source-Free Domain Adaptation
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLM
TTA
72
343
0
09 Apr 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
97
1,244
0
20 Feb 2020
Universal Domain Adaptation through Self Supervision
Universal Domain Adaptation through Self Supervision
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Kate Saenko
OOD
TTA
83
321
0
19 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
369
18,778
0
13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
157
3,554
0
21 Jan 2020
A Sample Selection Approach for Universal Domain Adaptation
A Sample Selection Approach for Universal Domain Adaptation
Omri Lifshitz
Lior Wolf
41
12
0
14 Jan 2020
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
232
3,490
0
30 Sep 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
195
1,950
0
06 Jun 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
135
2,316
0
29 Apr 2019
Partial Adversarial Domain Adaptation
Partial Adversarial Domain Adaptation
Zhangjie Cao
Li-jie Ma
Mingsheng Long
Jianmin Wang
85
439
0
10 Aug 2018
Open Set Domain Adaptation by Backpropagation
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VLM
77
507
0
27 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
258
3,290
0
21 Mar 2018
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
144
2,047
0
22 Jun 2017
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
125
1,818
0
16 Jun 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
262
4,667
0
17 Feb 2017
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
558
27,311
0
01 Sep 2014
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