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Deep Visual Domain Adaptation: A Survey
v1v2v3v4 (latest)

Deep Visual Domain Adaptation: A Survey

10 February 2018
Mei Wang
Weihong Deng
    OOD
ArXiv (abs)PDFHTML

Papers citing "Deep Visual Domain Adaptation: A Survey"

50 / 736 papers shown
Title
Generalized Schrödinger Bridge Matching
Generalized Schrödinger Bridge Matching
Guan-Horng Liu
Y. Lipman
Maximilian Nickel
Brian Karrer
Evangelos A. Theodorou
Ricky T. Q. Chen
DiffM
94
19
0
03 Oct 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion
Frugal Satellite Image Change Detection with Deep-Net Inversion
H. Sahbi
Sebastien Deschamps
86
0
0
26 Sep 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Yongyi Su
Xun Xu
Kui Jia
TTA
154
26
0
26 Sep 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
53
8
0
18 Sep 2023
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation
  from Fractal-based Simulation
Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation
Achref Jaziri
Martin Mundt
Andres Fernandez Rodriguez
Visvanathan Ramesh
72
3
0
18 Sep 2023
Image-level supervision and self-training for transformer-based
  cross-modality tumor segmentation
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Malo de Boisredon
Eugene Vorontsov
W. Le
Samuel Kadoury
MedImViT
83
2
0
17 Sep 2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
Weijieying Ren
Tianxiang Zhao
Wei Qin
Kunpeng Liu
TTAAI4TS
76
6
0
05 Sep 2023
Analyzing domain shift when using additional data for the MICCAI KiTS23
  Challenge
Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge
George Stoica
Mihaela Breaban
Vlad Barbu
OOD
24
2
0
05 Sep 2023
No Data Augmentation? Alternative Regularizations for Effective Training
  on Small Datasets
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets
Lorenzo Brigato
Stavroula Mougiakakou
77
5
0
04 Sep 2023
Deep Reinforcement Learning in Surgical Robotics: Enhancing the
  Automation Level
Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level
Cheng Qian
Hongliang Ren
70
4
0
02 Sep 2023
Time Series Analysis of Urban Liveability
Time Series Analysis of Urban Liveability
Alex Levering
Diego Marcos
D. Tuia
40
1
0
01 Sep 2023
Adaptation Speed Analysis for Fairness-aware Causal Models
Adaptation Speed Analysis for Fairness-aware Causal Models
Yujie Lin
Chen Zhao
Minglai Shao
Xujiang Zhao
Haifeng Chen
40
5
0
31 Aug 2023
Multi-Scale and Multi-Layer Contrastive Learning for Domain
  Generalization
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
87
6
0
28 Aug 2023
The TYC Dataset for Understanding Instance-Level Semantics and Motions
  of Cells in Microstructures
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures
Christoph Reich
Tim Prangemeier
Heinz Koeppl
58
0
0
23 Aug 2023
Trustworthy Representation Learning Across Domains
Trustworthy Representation Learning Across Domains
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Zhixuan Chu
Xiang Yu
Sheng Li
FaMLAI4TS
93
2
0
23 Aug 2023
On the Robustness of Open-World Test-Time Training: Self-Training with
  Dynamic Prototype Expansion
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
Yu-Sheng Li
Xun Xu
Yongyi Su
Kui Jia
OODVLMTTA
70
22
0
19 Aug 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set
  Domain Generalization
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
85
20
0
18 Aug 2023
Stable and Causal Inference for Discriminative Self-supervised Deep
  Visual Representations
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations
Yuewei Yang
Hai Helen Li
Yiran Chen
CMLOOD
98
1
0
16 Aug 2023
AD-CLIP: Adapting Domains in Prompt Space Using CLIP
AD-CLIP: Adapting Domains in Prompt Space Using CLIP
Mainak Singha
Harsh Pal
Ankit Jha
Biplab Banerjee
VLM
69
53
0
10 Aug 2023
DOMINO: Domain-invariant Hyperdimensional Classification for
  Multi-Sensor Time Series Data
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
Junyao Wang
Luke Chen
Mohammad Abdullah Al Faruque
72
5
0
07 Aug 2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with
  Differentiable Expected Calibration Error
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error
Zixin Wang
Yadan Luo
Zhi Chen
Sen Wang
Zi Huang
115
13
0
06 Aug 2023
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free
  Domain Adaptation
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation
Xuefeng Hu
Ke Zhang
Lu Xia
Albert Y. C. Chen
Jiajia Luo
...
Nan Qiao
Xiao Zeng
Min Sun
Cheng-Hao Kuo
Ram Nevatia
VLM
31
27
0
04 Aug 2023
Assessing Systematic Weaknesses of DNNs using Counterfactuals
Assessing Systematic Weaknesses of DNNs using Counterfactuals
Sujan Sai Gannamaneni
Michael Mock
Maram Akila
AAML
64
4
0
03 Aug 2023
Consistency Regularization for Generalizable Source-free Domain
  Adaptation
Consistency Regularization for Generalizable Source-free Domain Adaptation
Longxiang Tang
Kai Li
Chunming He
Yulun Zhang
Xiu Li
TTA
93
15
0
03 Aug 2023
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator
  Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction
Yu Wu
Dimitris Spathis
Hong Jia
I. Perez-Pozuelo
Tomas I. Gonzales
S. Brage
N. Wareham
Cecilia Mascolo
36
4
0
31 Jul 2023
Cross-Modal Concept Learning and Inference for Vision-Language Models
Cross-Modal Concept Learning and Inference for Vision-Language Models
Yi Zhang
Ce Zhang
Yushun Tang
Z. He
VLMMLLMCLIP
74
16
0
28 Jul 2023
Transfer Learning for Portfolio Optimization
Transfer Learning for Portfolio Optimization
Haoyang Cao
Haotian Gu
Xin Guo
M. Rosenbaum
93
0
0
25 Jul 2023
Towards General Game Representations: Decomposing Games Pixels into
  Content and Style
Towards General Game Representations: Decomposing Games Pixels into Content and Style
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
OCL
86
3
0
20 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
87
9
0
19 Jul 2023
Deep learning for unsupervised domain adaptation in medical imaging:
  Recent advancements and future perspectives
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
S. Kumari
Pravendra Singh
OOD
93
29
0
18 Jul 2023
Covariate shift in nonparametric regression with Markovian design
Covariate shift in nonparametric regression with Markovian design
Lukas Trottner
54
0
0
17 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDLOOD
88
1
0
08 Jul 2023
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in
  Digital Pathology: A Step Closer to Widescale Deployment
Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology: A Step Closer to Widescale Deployment
Amanda Dy
Ngoc-Nhu Jennifer Nguyen
S. Mirjahanmardi
Melanie Dawe
A. Fyles
Wei Shi
Fei Liu
D. Androutsos
S. Done
A. Khademi
39
3
0
08 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
98
5
0
05 Jul 2023
IAdet: Simplest human-in-the-loop object detection
IAdet: Simplest human-in-the-loop object detection
Franco Marchesoni-Acland
Gabriele Facciolo
VLM
101
1
0
04 Jul 2023
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware
  Prostate Cancer Classification
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
Meng Zhou
A. Jamzad
J. Izard
A. Menard
R. Siemens
P. Mousavi
MedIm
101
0
0
02 Jul 2023
Cross-Inferential Networks for Source-free Unsupervised Domain
  Adaptation
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation
Yushun Tang
Qinghai Guo
Z. He
OOD
37
6
0
29 Jun 2023
Recent Advances in Optimal Transport for Machine Learning
Recent Advances in Optimal Transport for Machine Learning
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OODOT
96
39
0
28 Jun 2023
Differentially Private Domain Adaptation with Theoretical Guarantees
Differentially Private Domain Adaptation with Theoretical Guarantees
Raef Bassily
Corinna Cortes
Anqi Mao
M. Mohri
60
0
0
15 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution
  Generalization
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Xiner Li
Shurui Gui
Youzhi Luo
Shuiwang Ji
OODDOOD
89
14
0
13 Jun 2023
Domain Information Control at Inference Time for Acoustic Scene
  Classification
Domain Information Control at Inference Time for Acoustic Scene Classification
Shahed Masoudian
Khaled Koutini
Markus Schedl
Gerhard Widmer
Navid Rekabsaz
54
1
0
13 Jun 2023
Federated Learning under Covariate Shifts with Generalization Guarantees
Federated Learning under Covariate Shifts with Generalization Guarantees
Ali Ramezani-Kebrya
Fanghui Liu
Thomas Pethick
Grigorios G. Chrysos
Volkan Cevher
FedMLOOD
99
8
0
08 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph
  Out-of-Distribution Generalization
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CMLOOD
81
30
0
01 Jun 2023
Maximizing Information in Domain-Invariant Representation Improves Transfer Learning
Maximizing Information in Domain-Invariant Representation Improves Transfer Learning
A. Li
Elisa Bertino
Xuan-Hong Dang
Ankush Singla
Yuhai Tu
M. Wegman
OOD
46
1
0
01 Jun 2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced
  Training Data Using Domain Adaptation and Data Augmentation
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation
A. Li
Elisa Bertino
Rih-Teng Wu
Ting Wu
71
5
0
31 May 2023
Cross-Domain Car Detection Model with Integrated Convolutional Block
  Attention Mechanism
Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism
Haoxuan Xu
Songning Lai
Xianyang Li
Y. Yang
ViT
79
15
0
31 May 2023
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Jianfei Yang
Hanjie Qian
Yuecong Xu
Kai Wang
Lihua Xie
118
10
0
30 May 2023
CNN Feature Map Augmentation for Single-Source Domain Generalization
CNN Feature Map Augmentation for Single-Source Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
80
3
0
26 May 2023
SimHaze: game engine simulated data for real-world dehazing
SimHaze: game engine simulated data for real-world dehazing
Zhengyang Lou
Huanu Xu
Fangzhou Mu
Yanli Liu
Xiaoyu Zhang
Liang Shang
Jiang Li
Bochen Guan
Yin Li
Yunyun Hu
41
2
0
25 May 2023
Generalizable Low-Resource Activity Recognition with Diverse and
  Discriminative Representation Learning
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning
Xin Qin
Jindong Wang
Shuo Ma
Wang Lu
Yongchun Zhu
Xingxu Xie
Yiqiang Chen
AI4TS
71
14
0
25 May 2023
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