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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
DORO: Distributional and Outlier Robust Optimization
DORO: Distributional and Outlier Robust Optimization
Runtian Zhai
Chen Dan
J. Zico Kolter
Pradeep Ravikumar
55
62
0
11 Jun 2021
Validation of Simulation-Based Testing: Bypassing Domain Shift with
  Label-to-Image Synthesis
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis
Julia Rosenzweig
E. Brito
H. Kobialka
Maram Akila
Nico M. Schmidt
...
Jan David Schneider
Fabian Hüger
Matthias Rottmann
Sebastian Houben
Tim Wirtz
34
4
0
10 Jun 2021
An Information-theoretic Approach to Distribution Shifts
An Information-theoretic Approach to Distribution Shifts
Marco Federici
Ryota Tomioka
Patrick Forré
OOD
90
20
0
07 Jun 2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation
  Learners
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Yabin Zhang
Haojian Zhang
Bin Deng
Shuai Li
Kui Jia
Lei Zhang
71
25
0
01 Jun 2021
Sequential Domain Adaptation by Synthesizing Distributionally Robust
  Experts
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Bahar Taşkesen
Man-Chung Yue
Jose H. Blanchet
Daniel Kuhn
Viet Anh Nguyen
72
21
0
01 Jun 2021
Continual 3D Convolutional Neural Networks for Real-time Processing of
  Videos
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos
Lukas Hedegaard
Alexandros Iosifidis
3DPC
68
15
0
31 May 2021
Unsupervised Domain Adaptation of Object Detectors: A Survey
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OODObjD
119
183
0
27 May 2021
Adaptive Filters in Graph Convolutional Neural Networks
Adaptive Filters in Graph Convolutional Neural Networks
Andrea Apicella
Francesco Isgrò
A. Pollastro
R. Prevete
GNN
122
17
0
21 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient
  Alignment
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian
Haoliang Li
Yufei Wang
Shiqi Wang
63
4
0
14 May 2021
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification
  in Fundus Retina Images
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
Yiming Bao
Jun Wang
Tong Li
Linyan Wang
Jianwei Xu
Juan Ye
Xiaobo Li
OOD
95
3
0
07 May 2021
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Kexin Huang
Cao Xiao
Lucas Glass
C. Critchlow
G. Gibson
Jimeng Sun
LM&MAVLMSyDa
47
27
0
03 May 2021
AI-enabled Efficient and Safe Food Supply Chain
AI-enabled Efficient and Safe Food Supply Chain
I. Kollia
J. Stevenson
Stefanos D. Kollias
54
31
0
01 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
126
58
0
29 Apr 2021
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and
  Object-Specific Robotic Grasping in Clutter
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter
Hanbo Zhang
Deyu Yang
Han Wang
Binglei Zhao
Xuguang Lan
Jishiyu Ding
Nanning Zheng
82
41
0
29 Apr 2021
Randomized Histogram Matching: A Simple Augmentation for Unsupervised
  Domain Adaptation in Overhead Imagery
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
Can Yaris
Kaleb Kassaw
Bohao Huang
Kyle Bradbury
Jordan M. Malof
28
20
0
28 Apr 2021
DANICE: Domain adaptation without forgetting in neural image compression
DANICE: Domain adaptation without forgetting in neural image compression
Sudeep Katakol
Luis Herranz
Feiyu Yang
M. Mrak
49
4
0
19 Apr 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers
Contrastive Out-of-Distribution Detection for Pretrained Transformers
Wenxuan Zhou
Fangyu Liu
Muhao Chen
56
101
0
18 Apr 2021
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing
  in the Agri-Food Sector
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
A. Durrant
Milan Markovic
David Matthews
David May
J. Enright
Georgios Leontidis
FedML
72
72
0
14 Apr 2021
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on
  Point Clouds
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds
Xiaoyuan Luo
Shaolei Liu
Kexue Fu
Manning Wang
Zhijian Song
OOD3DPC
45
11
0
12 Apr 2021
Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR
  Planning
Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning
Vikram Shree
B. Asfora
Rachel Zheng
Samantha Hong
Jacopo Banfi
M. Campbell
44
10
0
08 Apr 2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
Jennifer J. Sun
Tomomi Karigo
Dipam Chakraborty
Sharada Mohanty
Benjamin Wild
...
Chen Chen
D. Anderson
Pietro Perona
Yisong Yue
Ann Kennedy
119
49
0
06 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot
  Classification Benchmark
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin
N. Houlsby
Utku Evci
Xiaohua Zhai
Ross Goroshin
Sylvain Gelly
Hugo Larochelle
80
26
0
06 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift
  Analysis
Understanding Continual Learning Settings with Data Distribution Drift Analysis
Timothée Lesort
Massimo Caccia
Irina Rish
93
56
0
04 Apr 2021
Confidence Calibration for Domain Generalization under Covariate Shift
Confidence Calibration for Domain Generalization under Covariate Shift
Yunye Gong
Xiaoyu Lin
Yi Yao
Thomas G. Dietterich
Ajay Divakaran
Melinda Gervasio
65
27
0
01 Apr 2021
Domain-Adversarial Training of Self-Attention Based Networks for Land
  Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery
Mauro Martini
Vittorio Mazzia
Aleem Khaliq
Marcello Chiaberge
134
40
0
01 Apr 2021
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and
  Progressive Self-Training
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
Yoonhyung Kim
Changick Kim
119
8
0
01 Apr 2021
Geometric Unsupervised Domain Adaptation for Semantic Segmentation
Geometric Unsupervised Domain Adaptation for Semantic Segmentation
Vitor Campagnolo Guizilini
Jie Li
Rares Andrei Ambrus
Adrien Gaidon
MDE
66
40
0
30 Mar 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler
Andreas Bühler
Felix Wiewel
Mario Döbler
Binh Yang
TTAOOD
86
87
0
30 Mar 2021
Photoacoustic image synthesis with generative adversarial networks
Photoacoustic image synthesis with generative adversarial networks
Melanie Schellenberg
J. Gröhl
Kris K. Dreher
Jan-Hinrich Nolke
Niklas Holzwarth
M. Tizabi
A. Seitel
Lena Maier-Hein
GANMedIm
142
18
0
29 Mar 2021
Monocular Depth Estimation through Virtual-world Supervision and
  Real-world SfM Self-Supervision
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
A. Gurram
Ahmet Faruk Tuna
Fengyi Shen
O. Urfalioglu
Antonio M. López
MDE
101
42
0
22 Mar 2021
A Batch Normalization Classifier for Domain Adaptation
A Batch Normalization Classifier for Domain Adaptation
Matthew R. Behrend
S. Robinson
OOD
26
0
0
22 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain
  Randomization
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
Carmel Rabinovitz
Niko A. Grupen
Aviv Tamar
OODSSL
52
3
0
20 Mar 2021
Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User Interaction
Paul Koch
Marian Schluter
Serge Thill
35
0
0
17 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
124
329
0
15 Mar 2021
In the light of feature distributions: moment matching for Neural Style
  Transfer
In the light of feature distributions: moment matching for Neural Style Transfer
Nikolai Kalischek
Jan Dirk Wegner
Konrad Schindler
OOD
122
49
0
12 Mar 2021
Limitations of Post-Hoc Feature Alignment for Robustness
Limitations of Post-Hoc Feature Alignment for Robustness
Collin Burns
Jacob Steinhardt
OOD
97
23
0
10 Mar 2021
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain
  Adaptive Object Detection
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
VS Vibashan
Vikram Gupta
Poojan Oza
Vishwanath A. Sindagi
Vishal M. Patel
53
187
0
07 Mar 2021
Unsupervised Domain Adaptation Network with Category-Centric Prototype
  Aligner for Biomedical Image Segmentation
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
Ping Gong
Wenwen Yu
Qiuwen Sun
Ruohan Zhao
Junfeng Hu
OODMedIm
45
6
0
03 Mar 2021
Simulation-to-Real domain adaptation with teacher-student learning for
  endoscopic instrument segmentation
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation
Manish Sahu
Anirban Mukhopadhyay
S. Zachow
133
21
0
02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
268
1,240
0
02 Mar 2021
DeepMerge II: Building Robust Deep Learning Algorithms for Merging
  Galaxy Identification Across Domains
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains
A. Ćiprijanović
Diana Kafkes
K. Downey
S. Jenkins
G. Perdue
Sandeep Madireddy
T. Johnston
Gregory F. Snyder
Brian D. Nord
65
26
0
02 Mar 2021
Surgical Visual Domain Adaptation: Results from the MICCAI 2020
  SurgVisDom Challenge
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
Aneeq Zia
Kiran D. Bhattacharyya
Xi Liu
Ziheng Wang
S. Kondo
...
Raabid Hussain
Lena Maier-Hein
Danail Stoyanov
Stefanie Speidel
A. Jarc
86
20
0
26 Feb 2021
Mitigating Domain Mismatch in Face Recognition Using Style Matching
Mitigating Domain Mismatch in Face Recognition Using Style Matching
Chun-Hsien Lin
Bing-Fei Wu
CVBM
54
3
0
26 Feb 2021
Domain Adapting Ability of Self-Supervised Learning for Face Recognition
Domain Adapting Ability of Self-Supervised Learning for Face Recognition
Chun-Hsien Lin
Bing-Fei Wu
CVBMOODSSL
47
2
0
26 Feb 2021
Model-Based Domain Generalization
Model-Based Domain Generalization
Alexander Robey
George J. Pappas
Hamed Hassani
OOD
143
131
0
23 Feb 2021
Learning Deep Features for Shape Correspondence with Domain Invariance
Learning Deep Features for Shape Correspondence with Domain Invariance
Praful Agrawal
Ross T. Whitaker
Shireen Y. Elhabian
OOD
33
3
0
21 Feb 2021
Deep Gait Recognition: A Survey
Deep Gait Recognition: A Survey
Alireza Sepas-Moghaddam
Ali Etemad
CVBM
110
181
0
18 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
147
563
0
18 Feb 2021
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain
  Gait Recognition
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition
Jinkai Zheng
Xinchen Liu
C. Yan
Jiyong Zhang
Wu Liu
Xiaoping Zhang
Tao Mei
CVBM
68
13
0
09 Feb 2021
Fine-tuning deep learning model parameters for improved super-resolution
  of dynamic MRI with prior-knowledge
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
Chompunuch Sarasaen
S. Chatterjee
Mario Breitkopf
G. Rose
A. Nürnberger
Oliver Speck
SupR
61
35
0
04 Feb 2021
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