ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1710.06924
  4. Cited By
VisDA: The Visual Domain Adaptation Challenge

VisDA: The Visual Domain Adaptation Challenge

18 October 2017
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
    OOD
ArXivPDFHTML

Papers citing "VisDA: The Visual Domain Adaptation Challenge"

50 / 160 papers shown
Title
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation
Yi-Ming Zhai
Chuan-Xian Ren
Hong Yan
52
0
0
03 May 2025
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
Xinru Meng
Han Sun
J. Liu
Ningzhong Liu
Huiyu Zhou
54
0
0
23 Apr 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li
Boyang Li
CoGe
73
0
0
03 Mar 2025
Stein Discrepancy for Unsupervised Domain Adaptation
Stein Discrepancy for Unsupervised Domain Adaptation
Anneke von Seeger
Dongmian Zou
Gilad Lerman
92
0
0
24 Feb 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
A. Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
65
2
0
15 Feb 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
Scott Geng
Cheng-Yu Hsieh
Vivek Ramanujan
Matthew Wallingford
Chun-Liang Li
Pang Wei Koh
Ranjay Krishna
DiffM
68
6
0
03 Jan 2025
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
A. Nguyen
Lam C. Tran
Anh Tong
Tuan-Duy H. Nguyen
Toan M. Tran
42
1
0
31 Dec 2024
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Minhee Cho
Hyesong Choi
Hayeon Jo
Dongbo Min
27
1
0
04 Sep 2024
Prototypical Partial Optimal Transport for Universal Domain Adaptation
Prototypical Partial Optimal Transport for Universal Domain Adaptation
Yucheng Yang
Xiang Gu
Jian-jun Sun
OT
43
11
0
02 Aug 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna
Medhanie Irgau
David B. Lobell
Stefano Ermon
VLM
32
4
0
16 Jun 2024
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
50
0
0
13 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation
Proxy Denoising for Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
Xiatian Zhu
64
1
0
03 Jun 2024
Domain Adaptation with Cauchy-Schwarz Divergence
Domain Adaptation with Cauchy-Schwarz Divergence
Wenzhe Yin
Shujian Yu
Yicong Lin
Jie Li
J. Sonke
E. Gavves
29
3
0
30 May 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
45
1
0
26 May 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open
  Domain Generalization
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha
Ankit Jha
Shirsha Bose
Ashwin Nair
Moloud Abdar
Biplab Banerjee
VLM
41
10
0
31 Mar 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into
  Data Generation, Volume, and Utilization
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
Yuhang Li
Xin Dong
Chen Chen
Jingtao Li
Yuxin Wen
Michael Spranger
Lingjuan Lyu
DiffM
30
4
0
28 Mar 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OT
35
1
0
18 Mar 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
Sanqing Qu
Tianpei Zou
Lianghua He
Florian Röhrbein
Alois C. Knoll
Guang Chen
Changjun Jiang
45
12
0
06 Mar 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
40
15
0
05 Mar 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
44
2
0
20 Feb 2024
Domain Adaptation Using Pseudo Labels
Domain Adaptation Using Pseudo Labels
S. Chhabra
Hemanth Venkateswara
Baoxin Li
21
1
0
09 Feb 2024
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition
  via Fine-grained Domain Adaptation
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
Daniel Batrakhanov
T. Eerola
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
María Teresa Camarena-Gómez
Jukka Seppälä
H. Kalviainen
16
3
0
08 Feb 2024
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation
  of Prediction Rationale
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu
Xiaofeng Cao
Qi Chen
Bowen Zhang
Ziqin Zhou
A. Hengel
Lingqiao Liu
23
0
0
02 Feb 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free
  Domain Adaptation
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
Hyeonwoo Cho
Chanmin Park
Donghee Kim
Jinyoung Kim
Won Hwa Kim
TTA
26
0
0
26 Jan 2024
Open Domain Generalization with a Single Network by Regularization
  Exploiting Pre-trained Features
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
Inseop Chung
Kiyoon Yoo
Nojun Kwak
VLM
16
0
0
08 Dec 2023
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Song Tang
Wenxin Su
Mao Ye
Xiatian Zhu
VLM
27
21
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
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space
  Detection Approach
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach
Zhenbang Du
Jiayu An
Yunlu Tu
Jiahao Hong
Dongrui Wu
MoE
20
1
0
01 Nov 2023
Deep Feature Registration for Unsupervised Domain Adaptation
Deep Feature Registration for Unsupervised Domain Adaptation
Youshan Zhang
Brian D. Davison
16
0
0
24 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
16
3
0
17 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved
  Calibration and Model Selection in Unsupervised Domain Adaptation
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation
Taejong Joo
Diego Klabjan
37
1
0
16 Oct 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
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
28
11
0
01 Sep 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
GeT: Generative Target Structure Debiasing for Domain Adaptation
Can Zhang
G. Lee
DiffM
28
2
0
20 Aug 2023
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia
  Visual Inspection
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection
Yichen Zhang
Yifang Yin
Ying Zhang
Zhenguang Liu
Zheng Wang
Roger Zimmermann
23
2
0
19 Aug 2023
Universal Domain Adaptation from Foundation Models: A Baseline Study
Universal Domain Adaptation from Foundation Models: A Baseline Study
Bin Deng
K. Jia
VLM
21
6
0
18 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
28
4
0
13 May 2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level
  Learning
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
Xinyang Huang
Chuanglu Zhu
Wenkai Chen
29
12
0
04 May 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
H. Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei-Neng Chen
Shuicheng Yan
CLL
TTA
29
3
0
13 Apr 2023
Domain Adaptive Multiple Instance Learning for Instance-level Prediction
  of Pathological Images
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images
Shusuke Takahama
Y. Kurose
Yusuke Mukuta
Hiroyuki Abe
Akihiko Yoshizawa
T. Ushiku
M. Fukayama
M. Kitagawa
Masaru Kitsuregawa
Tatsuya Harada
18
1
0
07 Apr 2023
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
Nazmul Karim
Niluthpol Chowdhury Mithun
Abhinav Rajvanshi
Han-Pang Chiu
S. Samarasekera
Nazanin Rahnavard
TTA
21
56
0
30 Mar 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Mixue Xie
Shuang Li
Rui Zhang
Chi Harold Liu
UQCV
38
29
0
27 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
H. Shen
TTA
21
94
0
23 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised
  Domain Adaptation
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
21
2
0
10 Feb 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
L. Yi
Gezheng Xu
Pengcheng Xu
Jiaqi Li
Ruizhi Pu
Charles X. Ling
A. McLeod
Boyu Wang
21
39
0
31 Jan 2023
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain
  Adaptation
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation
Hao Yan
Yuhong Guo
8
4
0
15 Dec 2022
Rethinking the Role of Pre-Trained Networks in Source-Free Domain
  Adaptation
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
TTA
AI4CE
34
15
0
15 Dec 2022
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain
  Adaptation
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
I. Diamant
Roy H. Jennings
Oranit Dror
H. Habi
Arnon Netzer
22
2
0
07 Dec 2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for
  Syn-to-Real Domain Generalization
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
Prithvijit Chattopadhyay
Kartik Sarangmath
Vivek Vijaykumar
Judy Hoffman
47
24
0
02 Dec 2022
Boosting Novel Category Discovery Over Domains with Soft Contrastive
  Learning and All-in-One Classifier
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier
Z. Zang
Lei Shang
Senqiao Yang
Fei-Yue Wang
Baigui Sun
Xuansong Xie
Stan Z. Li
19
14
0
21 Nov 2022
1234
Next