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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

20 February 2020
Jian Liang
Dapeng Hu
Jiashi Feng
ArXivPDFHTML

Papers citing "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

50 / 625 papers shown
Title
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
Xinhui Liu
Zhenghao Chen
Luping Zhou
Dong Xu
Wei Xi
Gairui Bai
Yihan Zhao
Jizhong Zhao
26
2
0
27 Nov 2023
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
Gauransh Sawhney
Daksh Dave
Adeel Ahmed
Jiechao Gao
Khalid Saleem
23
0
0
21 Nov 2023
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
Thomas Westfechtel
Hao-Wei Yeh
Dexuan Zhang
Tatsuya Harada
CLL
49
14
0
16 Nov 2023
Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation
Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation
Junyoung Park
Jin-Hwa Kim
Hyeongjun Kwon
Ilhoon Yoon
Kwanghoon Sohn
30
7
0
10 Nov 2023
Effective Restoration of Source Knowledge in Continual Test Time
  Adaptation
Effective Restoration of Source Knowledge in Continual Test Time Adaptation
Fahim Faisal Niloy
Sk. Miraj Ahmed
Dripta S. Raychaudhuri
Samet Oymak
A. Roy-Chowdhury
KELM
CLL
TTA
13
10
0
08 Nov 2023
Learning Class and Domain Augmentations for Single-Source Open-Domain
  Generalization
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
Prathmesh Bele
Valay Bundele
Avigyan Bhattacharya
Ankit Jha
Gemma Roig
Biplab Banerjee
13
5
0
05 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Shitian Zhao
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
36
3
0
02 Nov 2023
Improving Entropy-Based Test-Time Adaptation from a Clustering View
Improving Entropy-Based Test-Time Adaptation from a Clustering View
Guoliang Lin
Hanjiang Lai
Yan Pan
Jian Yin
OOD
TTA
18
2
0
31 Oct 2023
In Search of Lost Online Test-time Adaptation: A Survey
In Search of Lost Online Test-time Adaptation: A Survey
Zixin Wang
Yadan Luo
Liang Zheng
Zhuoxiao Chen
Sen Wang
Zi Huang
32
15
0
31 Oct 2023
Adaptive Test-Time Personalization for Federated Learning
Adaptive Test-Time Personalization for Federated Learning
Wenxuan Bao
Tianxin Wei
Haohan Wang
Jingrui He
TTA
OOD
28
14
0
28 Oct 2023
Rethinking Semi-Supervised Federated Learning: How to co-train
  fully-labeled and fully-unlabeled client imaging data
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data
Pramit Saha
Divyanshu Mishra
J. A. Noble
FedML
41
8
0
28 Oct 2023
Optimization-Free Test-Time Adaptation for Cross-Person Activity
  Recognition
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition
Shuoyuan Wang
Jindong Wang
Huajun Xi
Bob Zhang
Lei Zhang
Hongxin Wei
TTA
29
12
0
28 Oct 2023
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework
  for Medical Image Segmentation
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Jiesi Hu
Yanwu Yang
Xutao Guo
Jinghua Wang
Heather Ting Ma
MedIm
38
1
0
27 Oct 2023
Adapt Anything: Tailor Any Image Classifiers across Domains And
  Categories Using Text-to-Image Diffusion Models
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models
Weijie Chen
Haoyu Wang
Shicai Yang
Lei Zhang
Wei Wei
Yanning Zhang
Luojun Lin
Di Xie
Yueting Zhuang
DiffM
VLM
OOD
23
0
0
25 Oct 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained
  Large Models Fine-Tuning
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning
Shuoran Jiang
Qingcai Chen
Yang Xiang
Youcheng Pan
Xiangping Wu
AI4CE
21
0
0
24 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
52
5
0
20 Oct 2023
ClusT3: Information Invariant Test-Time Training
ClusT3: Information Invariant Test-Time Training
G. A. V. Hakim
David Osowiechi
Mehrdad Noori
Milad Cheraghalikhani
Ismail Ben Ayed
Christian Desrosiers
TTA
OOD
23
10
0
18 Oct 2023
Robust Class-Conditional Distribution Alignment for Partial Domain
  Adaptation
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation
Sandipan Choudhuri
Arunabha Sen
OOD
21
0
0
18 Oct 2023
SODA: Robust Training of Test-Time Data Adaptors
SODA: Robust Training of Test-Time Data Adaptors
Zige Wang
Yonggang Zhang
Zhen Fang
Long Lan
Wenjing Yang
Bo Han
19
2
0
17 Oct 2023
Towards Unified and Effective Domain Generalization
Towards Unified and Effective Domain Generalization
Yiyuan Zhang
Kaixiong Gong
Xiaohan Ding
Kaipeng Zhang
Fangrui Lv
Kurt Keutzer
Xiangyu Yue
AI4CE
OOD
FedML
33
4
0
16 Oct 2023
SIDE: Self-supervised Intermediate Domain Exploration for Source-free
  Domain Adaptation
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation
Jiamei Liu
Han Sun
Yizhen Jia
Jie Qin
Huiyu Zhou
Ningzhong Liu
TTA
32
0
0
13 Oct 2023
Transferable Deep Clustering Model
Transferable Deep Clustering Model
Zhengwu Zhang
Liang Zhao
19
0
0
07 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category
  Shift
Activate and Reject: Towards Safe Domain Generalization under Category Shift
Chaoqi Chen
Luyao Tang
Leitian Tao
Hong-Yu Zhou
Yue Huang
Xiaoguang Han
Yizhou Yu
OOD
31
10
0
07 Oct 2023
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Shuangliang Li
Longhui Yuan
Binhui Xie
Tao Yang
TTA
22
2
0
07 Oct 2023
Integrating Contrastive Learning into a Multitask Transformer Model for
  Effective Domain Adaptation
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation
Chung-Soo Ahn
Jagath Rajapakse
Rajib Rana
14
0
0
07 Oct 2023
Continual Test-time Domain Adaptation via Dynamic Sample Selection
Continual Test-time Domain Adaptation via Dynamic Sample Selection
Yanshuo Wang
Jie Hong
A. Cheraghian
Shafin Rahman
David Ahmedt-Aristizabal
Lars Petersson
Mehrtash Harandi
TTA
17
15
0
05 Oct 2023
Bag of Tricks for Fully Test-Time Adaptation
Bag of Tricks for Fully Test-Time Adaptation
Saypraseuth Mounsaveng
Florent Chiaroni
Malik Boudiaf
M. Pedersoli
Ismail Ben Ayed
TTA
24
7
0
03 Oct 2023
Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptation
Shivang Chopra
Suraj Kothawade
Houda Aynaou
Aman Chadha
DiffM
30
0
0
02 Oct 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using
  Test-Time Feedback
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
Teresa Yeo
Oğuzhan Fatih Kar
Zahra Sodagar
Amir Zamir
TTA
OOD
31
3
0
27 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation
VPA: Fully Test-Time Visual Prompt Adaptation
Jiachen Sun
Mark Ibrahim
Melissa Hall
Ivan Evtimov
Z. Morley Mao
Cristian Canton Ferrer
C. Hazirbas
VLM
43
6
0
26 Sep 2023
Distribution-Aware Continual Test-Time Adaptation for Semantic
  Segmentation
Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
Jiayin Ni
Senqiao Yang
Ran Xu
Jiaming Liu
Xiaoqi Li
Wenyu Jiao
Zehui Chen
Yi Liu
Shanghang Zhang
TTA
27
7
0
24 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and
  Generalization
Order-preserving Consistency Regularization for Domain Adaptation and Generalization
Mengmeng Jing
Xiantong Zhen
Jingjing Li
Cees G. M. Snoek
27
4
0
23 Sep 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 Adaptation
Zhongqi Yue
Hanwang Zhang
Qianru Sun
OOD
33
16
0
22 Sep 2023
Online Supervised Training of Spaceborne Vision during Proximity
  Operations using Adaptive Kalman Filtering
Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering
T. Park
Simone DÁmico
29
8
0
20 Sep 2023
NoisyNN: Exploring the Influence of Information Entropy Change in
  Learning Systems
NoisyNN: Exploring the Influence of Information Entropy Change in Learning Systems
Xiao-Xing Yu
Zhe Huang
Yao Xue
Lu Zhang
Li Wang
Tianming Liu
Dajiang Zhu
24
6
0
19 Sep 2023
Strong-Weak Integrated Semi-supervision for Unsupervised Single and
  Multi Target Domain Adaptation
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation
Xiaohu Lu
H. Radha
28
0
0
12 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
21
1
0
10 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved
  Single-Sample Test-Time Adaptation
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
Skyler Seto
B. Theobald
Federico Danieli
Navdeep Jaitly
Dan Busbridge
TTA
OOD
42
6
0
07 Sep 2023
Better Practices for Domain Adaptation
Better Practices for Domain Adaptation
Linus Ericsson
Da Li
Timothy M. Hospedales
AI4CE
TTA
29
4
0
07 Sep 2023
A Robust Negative Learning Approach to Partial Domain Adaptation Using
  Source Prototypes
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes
Sandipan Choudhuri
Suli C. Adeniye
Arunabha Sen
21
0
0
07 Sep 2023
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time
  Adaptation
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
Manogna Sreenivas
Goirik Chakrabarty
Soma Biswas
TTA
14
1
0
02 Sep 2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal
  Neighborhood Clustering
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
Jian Yang
TTA
30
11
0
01 Sep 2023
Local-Global Pseudo-label Correction for Source-free Domain Adaptive
  Medical Image Segmentation
Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation
Yanyu Ye
Zheng-Wei Zhang
Chunna Tianb
Wei Wei
17
4
0
28 Aug 2023
Domain-Specificity Inducing Transformers for Source-Free Domain
  Adaptation
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
Sunandini Sanyal
Ashish Ramayee Asokan
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Jogendra Nath Kundu
R. Venkatesh Babu
ViT
44
9
0
27 Aug 2023
Calibrating Panoramic Depth Estimation for Practical Localization and
  Mapping
Calibrating Panoramic Depth Estimation for Practical Localization and Mapping
Junho Kim
Eungbean Lee
Y. Kim
MDE
29
1
0
27 Aug 2023
Prior-guided Source-free Domain Adaptation for Human Pose Estimation
Prior-guided Source-free Domain Adaptation for Human Pose Estimation
Dripta S. Raychaudhuri
Calvin-Khang Ta
Arindam Dutta
Rohit Lal
A. Roy-Chowdhury
TTA
3DH
20
15
0
26 Aug 2023
Black-box Unsupervised Domain Adaptation with Bi-directional
  Atkinson-Shiffrin Memory
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
Jingyi Zhang
Jiaxing Huang
Xue-Qiu Jiang
Shijian Lu
32
15
0
25 Aug 2023
Source-Free Collaborative Domain Adaptation via Multi-Perspective
  Feature Enrichment for Functional MRI Analysis
Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis
Yuqi Fang
Jinjian Wu
Qianqian Wang
S. Qiu
Andrea Bozoki
Huaicheng Yan
Mingxia Liu
17
6
0
24 Aug 2023
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal
  Targets
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets
Cody Simons
Dripta S. Raychaudhuri
Sk. Miraj Ahmed
Suya You
Konstantinos Karydis
A. Roy-Chowdhury
21
3
0
23 Aug 2023
COCA: Classifier-Oriented Calibration via Textual Prototype for
  Source-Free Universal Domain Adaptation
COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation
Xinghong Liu
Yi Zhou
Tao Zhou
Chun-Mei Feng
Ling Shao
VLM
27
2
0
21 Aug 2023
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