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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
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
65
3
0
17 Mar 2022
Deep vanishing point detection: Geometric priors make dataset variations
  vanish
Deep vanishing point detection: Geometric priors make dataset variations vanish
Yancong Lin
R. Wiersma
S. Pintea
Klaus Hildebrandt
E. Eisemann
Jan van Gemert
AAML3DPC
88
24
0
16 Mar 2022
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and
  Argumentation Detection
CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection
Jens Lemmens
Jens Van Nooten
Tim Kreutz
Walter Daelemans
58
6
0
14 Mar 2022
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive
  Recognition of Cereal Grains
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
Lei Fan
Yiwen Ding
Dongdong Fan
Donglin Di
Maurice Pagnucco
Yang Song
AI4TS
80
22
0
10 Mar 2022
Connecting sufficient conditions for domain adaptation: source-guided
  uncertainty, relaxed divergences and discrepancy localization
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization
Sofien Dhouib
S. Maghsudi
83
2
0
09 Mar 2022
Self-Supervised Domain Calibration and Uncertainty Estimation for Place
  Recognition
Self-Supervised Domain Calibration and Uncertainty Estimation for Place Recognition
Pierre-Yves Lajoie
Giovanni Beltrame
UQCV
76
9
0
08 Mar 2022
Unsupervised Domain Adaptation with Contrastive Learning for OCT
  Segmentation
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation
Alvaro Gomariz
Huanxiang Lu
Yun Yvonna Li
Thomas Albrecht
Andreas Maunz
Fethallah Benmansour
A. Valcarcel
Jennifer Luu
Daniela Ferrara
O. Goksel
63
12
0
07 Mar 2022
Towards IID representation learning and its application on biomedical
  data
Towards IID representation learning and its application on biomedical data
Jiqing Wu
I. Zlobec
Maxime W. Lafarge
Yukun He
V. Koelzer
OODCML
41
4
0
01 Mar 2022
Continuous Human Action Recognition for Human-Machine Interaction: A
  Review
Continuous Human Action Recognition for Human-Machine Interaction: A Review
Harshala Gammulle
David Ahmedt-Aristizabal
Simon Denman
Lachlan Tychsen-Smith
L. Petersson
Clinton Fookes
121
28
0
26 Feb 2022
Adversarially-regularized mixed effects deep learning (ARMED) models for
  improved interpretability, performance, and generalization on clustered data
Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data
K. Nguyen
A. Montillo
FedMLAAML
72
10
0
23 Feb 2022
Augmentation based unsupervised domain adaptation
Augmentation based unsupervised domain adaptation
Mauricio Orbes-Arteaga
Thomas Varsavsky
Lauge Sørensen
Mads Nielsen
A. Pai
Sebastien Ourselin
Marc Modat
Jorge Cardoso
OOD
42
3
0
23 Feb 2022
Deep learning based domain adaptation for mitochondria segmentation on
  EM volumes
Deep learning based domain adaptation for mitochondria segmentation on EM volumes
Daniel Franco-Barranco
Julio Pastor-Tronch
Aitor González-Marfil
A. Muñoz-Barrutia
Ignacio Arganda-Carreras
27
15
0
22 Feb 2022
Domain Randomization for Object Counting
Domain Randomization for Object Counting
Enric Moreu
Kevin McGuinness
Diego Ortego
Noel E. O'Connor
56
4
0
17 Feb 2022
Similarity learning for wells based on logging data
Similarity learning for wells based on logging data
Evgenia Romanenkova
Alina Rogulina
A. Shakirov
N. Stulov
Alexey Zaytsev
L. Ismailova
D. Kovalev
Klemens Katterbauer
A. Alshehri
49
16
0
11 Feb 2022
Cost-effective Framework for Gradual Domain Adaptation with
  Multifidelity
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity
Shogo Sagawa
H. Hino
CLL
70
6
0
09 Feb 2022
Comparative Study Between Distance Measures On Supervised Optimum-Path
  Forest Classification
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification
Gustavo de Rosa
Mateus Roder
João Paulo Papa
23
1
0
08 Feb 2022
Network Comparison Study of Deep Activation Feature Discriminability
  with Novel Objects
Network Comparison Study of Deep Activation Feature Discriminability with Novel Objects
Michael Karnes
Alper Yilmaz
45
0
0
08 Feb 2022
Robotic Grasping from Classical to Modern: A Survey
Robotic Grasping from Classical to Modern: A Survey
Hanbo Zhang
Jian Tang
Shiguang Sun
Xuguang Lan
93
41
0
08 Feb 2022
Accurate super-resolution low-field brain MRI
Accurate super-resolution low-field brain MRI
Juan Eugenio Iglesias
Riana L. Schleicher
Sean Laguna
Benjamin Billot
P. Schaefer
Brenna N. Mckaig
J. Goldstein
Kevin N. Sheth
Matthew S. Rosen
W. T. Kimberly
63
6
0
07 Feb 2022
Image-based Navigation in Real-World Environments via Multiple Mid-level
  Representations: Fusion Models, Benchmark and Efficient Evaluation
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation
Marco Rosano
Antonino Furnari
Luigi Gulino
C. Santoro
G. Farinella
EgoV
88
5
0
02 Feb 2022
Self-Supervised Moving Vehicle Detection from Audio-Visual Cues
Self-Supervised Moving Vehicle Detection from Audio-Visual Cues
Jannik Zürn
Wolfram Burgard
SSL
87
8
0
30 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
118
23
0
27 Jan 2022
Inter-Semantic Domain Adversarial in Histopathological Images
Inter-Semantic Domain Adversarial in Histopathological Images
Nicolas Dumas
V. Derangère
L. Arnould
S. Ladoire
Louis-Oscar Morel
Nathan Vinçon
OODMedIm
35
0
0
22 Jan 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Ce Ju
Cuntai Guan
145
3
0
15 Jan 2022
Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip
  Connections and Hybrid Learning
Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning
Eduardo R. Corral-Soto
Mrigank Rochan
Yan He
Shubhra Aich
Yang Liu
Liu Bingbing
85
0
0
14 Jan 2022
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Kowshik Thopalli
Jayaraman J. Thiagarajan
Rushil Anirudh
Pavan Turaga
56
0
0
05 Jan 2022
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
Disjoint Contrastive Regression Learning for Multi-Sourced Annotations
Xiaoqian Ruan
Gaoang Wang
72
2
0
31 Dec 2021
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
119
48
0
31 Dec 2021
DeepAdversaries: Examining the Robustness of Deep Learning Models for
  Galaxy Morphology Classification
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification
A. Ćiprijanović
Diana Kafkes
Gregory F. Snyder
F. Sánchez
G. Perdue
K. Pedro
Brian D. Nord
Sandeep Madireddy
Stefan M. Wild
AAML
82
17
0
28 Dec 2021
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot
  Generalization
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization
Kowshik Thopalli
Sameeksha Katoch
Pavan Turaga
Jayaraman J. Thiagarajan
OOD
40
0
0
17 Dec 2021
Quantitative analysis of visual representation of sign elements in
  COVID-19 context
Quantitative analysis of visual representation of sign elements in COVID-19 context
María Jesús Cano-Martínez
Miguel Carrasco
Joaquín Sandoval
César González-Martín
57
4
0
15 Dec 2021
A Survey of Unsupervised Domain Adaptation for Visual Recognition
A Survey of Unsupervised Domain Adaptation for Visual Recognition
Youshan Zhang
OOD
85
45
0
13 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction
Specificity-Preserving Federated Learning for MR Image Reconstruction
Chun-Mei Feng
Yu-bao Yan
Shanshan Wang
Yong Xu
Ling Shao
Huazhu Fu
OOD
131
80
0
09 Dec 2021
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A
  Comprehensive Survey
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey
Xun Chen
Chang Li
Aiping Liu
Martin J. McKeown
Ruobing Qian
Z. J. Wang
75
73
0
08 Dec 2021
Unsupervised Domain Adaptation for Semantic Image Segmentation: a
  Comprehensive Survey
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
G. Csurka
Riccardo Volpi
Boris Chidlovskii
OODVLM3DV
144
40
0
06 Dec 2021
Anomaly Detection in IR Images of PV Modules using Supervised
  Contrastive Learning
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Lukas Bommes
M. Hoffmann
C. Buerhop‐Lutz
Tobias Pickel
J. Hauch
Christoph J. Brabec
Andreas Maier
I. M. Peters
103
33
0
06 Dec 2021
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and
  Curriculum Learning
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
Shengjia Zhang
Tiancheng Lin
Yi Tian Xu
89
5
0
03 Dec 2021
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation
Edward Kim
Jay Shenoy
Sebastian Junges
Daniel J. Fremont
Alberto L. Sangiovanni-Vincentelli
Sanjit A. Seshia
78
3
0
01 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation
  Perspective
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Yuejiang Liu
Riccardo Cadei
Jonas Schweizer
Sherwin Bahmani
Alexandre Alahi
OODTTA
106
53
0
29 Nov 2021
Evolutionary Multitask Optimization: Fundamental Research Questions,
  Practices, and Directions for the Future
Evolutionary Multitask Optimization: Fundamental Research Questions, Practices, and Directions for the Future
E. Osaba
Javier Del Ser
Ponnuthurai Nagaratnam Suganthan
79
17
0
29 Nov 2021
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Y. Lu
AI4TS
73
7
0
27 Nov 2021
Failure Modes of Domain Generalization Algorithms
Failure Modes of Domain Generalization Algorithms
T. Galstyan
Hrayr Harutyunyan
Hrant Khachatrian
Greg Ver Steeg
Aram Galstyan
OOD
72
11
0
26 Nov 2021
Combining Data-driven Supervision with Human-in-the-loop Feedback for
  Entity Resolution
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
Wenpeng Yin
Shelby Heinecke
Jia Li
N. Keskar
Michael J. Jones
Shouzhong Shi
Stanislav Georgiev
Kurt Milich
Joseph Esposito
Caiming Xiong
51
2
0
20 Nov 2021
Deep Domain Adaptation for Pavement Crack Detection
Deep Domain Adaptation for Pavement Crack Detection
Huijun Liu
Chu-Ya Yang
Aocheng Li
Sheng Huang
Xin Feng
Zhimin Ruan
Yongxin Ge
65
26
0
19 Nov 2021
Improving Compound Activity Classification via Deep Transfer and
  Representation Learning
Improving Compound Activity Classification via Deep Transfer and Representation Learning
Vishal Dey
R. Machiraju
Xia Ning
AAML
117
3
0
14 Nov 2021
On the Statistical Benefits of Curriculum Learning
On the Statistical Benefits of Curriculum Learning
Ziping Xu
Ambuj Tewari
56
9
0
13 Nov 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with
  Background Mixing
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo
Rutav Shah
Yikang Shen
Kate Saenko
Abir Das
69
65
0
28 Oct 2021
Towards Audio Domain Adaptation for Acoustic Scene Classification using
  Disentanglement Learning
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning
J. Abeßer
Meinard Muller
44
2
0
26 Oct 2021
Domain Adaptation for Rare Classes Augmented with Synthetic Samples
Domain Adaptation for Rare Classes Augmented with Synthetic Samples
Tuhinanksu Das
Robert-Jan Bruintjes
A. Lengyel
Jan van Gemert
S. Rodrigues
36
5
0
23 Oct 2021
Domain Adaptation and Active Learning for Fine-Grained Recognition in
  the Field of Biodiversity
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
Bernd Gruner
Matthias Körschens
Björn Barz
Joachim Denzler
105
0
0
22 Oct 2021
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