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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
A neural network model of perception and reasoning
A neural network model of perception and reasoning
Paul J. Blazek
Milo M. Lin
LRM
11
1
0
26 Feb 2020
Deep Domain Adaptive Object Detection: a Survey
Deep Domain Adaptive Object Detection: a Survey
Wanyi Li
Fuyu Li
Yongkang Luo
Peng Wang
Jia sun
ObjD
76
60
0
17 Feb 2020
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
W. Boerdijk
M. Sundermeyer
M. Durner
Rudolph Triebel
66
9
0
11 Feb 2020
Targeted display advertising: the case of preferential attachment
Targeted display advertising: the case of preferential attachment
Saurav Manchanda
Pranjul Yadav
Khoa D. Doan
S. Keerthi
29
1
0
07 Feb 2020
Syn2Real: Forgery Classification via Unsupervised Domain Adaptation
Syn2Real: Forgery Classification via Unsupervised Domain Adaptation
Akash Kumar
Arnav Bhavasar
43
6
0
03 Feb 2020
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food
  Packaging
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
Mamatha Thota
Stefanos D. Kollias
M. Swainson
Georgios Leontidis
59
4
0
28 Jan 2020
Multi-Source Domain Adaptation for Text Classification via
  DistanceNet-Bandits
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
92
114
0
13 Jan 2020
Incremental Unsupervised Domain-Adversarial Training of Neural Networks
Incremental Unsupervised Domain-Adversarial Training of Neural Networks
Antonio Javier Gallego
Jorge Calvo-Zaragoza
Robert B. Fisher
CLLOOD
43
35
0
13 Jan 2020
Virtual to Real adaptation of Pedestrian Detectors
Virtual to Real adaptation of Pedestrian Detectors
Luca Ciampi
Nicola Messina
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
110
35
0
09 Jan 2020
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images
Xufeng Huang
Qiang Lei
Tingli Xie
Yiming Zhang
Zhen Hu
Qi Zhou
MedIm
45
80
0
05 Jan 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
162
582
0
28 Dec 2019
Smart Home Appliances: Chat with Your Fridge
Smart Home Appliances: Chat with Your Fridge
Denis A. Gudovskiy
Gyuri Han
Takuya Yamaguchi
Sotaro Tsukizawa
LRM
26
4
0
19 Dec 2019
Towards Robust Learning with Different Label Noise Distributions
Towards Robust Learning with Different Label Noise Distributions
Diego Ortego
Eric Arazo
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
55
25
0
18 Dec 2019
Improving land cover segmentation across satellites using domain
  adaptation
Improving land cover segmentation across satellites using domain adaptation
Nadir Bengana
J. Heikkilä
62
25
0
25 Nov 2019
Active Learning for Deep Detection Neural Networks
Active Learning for Deep Detection Neural Networks
H. H. Aghdam
Abel Gonzalez-Garcia
Joost van de Weijer
Antonio M. López
VLMObjD
95
140
0
20 Nov 2019
Deep Learning based HEp-2 Image Classification: A Comprehensive Review
Deep Learning based HEp-2 Image Classification: A Comprehensive Review
Saimunur Rahman
Lei Wang
Changming Sun
Luping Zhou
VLM
36
33
0
20 Nov 2019
Graph Domain Adaptation with Localized Graph Signal Representations
Graph Domain Adaptation with Localized Graph Signal Representations
Yusuf Yigit Pilavci
Eylem Tugçe Güneyi
Cemil Cengiz
Elif Vural
OOD
26
3
0
07 Nov 2019
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
192
4,501
0
07 Nov 2019
Picking groups instead of samples: A close look at Static Pool-based
  Meta-Active Learning
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
Ignasi Mas
J. Morros
Verónica Vilaplana
35
2
0
01 Nov 2019
Deep causal representation learning for unsupervised domain adaptation
Deep causal representation learning for unsupervised domain adaptation
Raha Moraffah
Kai Shu
A. Raglin
Huan Liu
CMLOOD
94
11
0
28 Oct 2019
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Shuhan Tan
Xingchao Peng
Kate Saenko
OOD
67
11
0
23 Oct 2019
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos
R Gnana Praveen
Eric Granger
P. Cardinal
95
26
0
17 Oct 2019
Mutual Information-driven Subject-invariant and Class-relevant Deep
  Representation Learning in BCI
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI
Eunjin Jeon
Wonjun Ko
Jee Seok Yoon
Heung-Il Suk
OOD
32
0
0
17 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
97
448
0
01 Oct 2019
Predicting with High Correlation Features
Predicting with High Correlation Features
Devansh Arpit
Caiming Xiong
R. Socher
OODDOOD
58
7
0
01 Oct 2019
Unsupervised Domain Adaptation through Self-Supervision
Unsupervised Domain Adaptation through Self-Supervision
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
OODSSL
80
238
0
26 Sep 2019
Matching Embeddings for Domain Adaptation
Matching Embeddings for Domain Adaptation
M. Pérez-Carrasco
Guillermo Cabrera-Vives
P. Protopapas
N. Astorga
Marouan Belhaj
GANDRL
22
1
0
25 Sep 2019
Forward-Backward Splitting for Optimal Transport based Problems
Forward-Backward Splitting for Optimal Transport based Problems
Guillermo Ortiz-Jiménez
Mireille El Gheche
E. Simou
Hermina Petric Maretic
P. Frossard
OT
54
7
0
20 Sep 2019
Towards Shape Biased Unsupervised Representation Learning for Domain
  Generalization
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization
Nader Asadi
Amir M. Sarfi
M. Hosseinzadeh
Zahra Karimpour
M. Eftekhari
OODSSL
65
25
0
18 Sep 2019
Using Latent Codes for Class Imbalance Problem in Unsupervised Domain
  Adaptation
Using Latent Codes for Class Imbalance Problem in Unsupervised Domain Adaptation
Boris Chidlovskii
33
2
0
17 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph
  Convolution
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
113
94
0
04 Sep 2019
Texture Underfitting for Domain Adaptation
Texture Underfitting for Domain Adaptation
Jan-Nico Zaech
Dengxin Dai
Martin Hahner
Luc Van Gool
SSegOOD
43
6
0
29 Aug 2019
Domain-Agnostic Learning with Anatomy-Consistent Embedding for
  Cross-Modality Liver Segmentation
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
Junlin Yang
Nicha Dvornek
Fan Zhang
Juntang Zhuang
Julius Chapiro
Mingde Lin
James S. Duncan
FedMLOODMedIm
72
17
0
27 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDLDRL
53
33
0
26 Aug 2019
Learning to Discover Novel Visual Categories via Deep Transfer
  Clustering
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
92
304
0
26 Aug 2019
Synthetic Elastography using B-mode Ultrasound through a Deep
  Fully-Convolutional Neural Network
Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network
R. Wildeboer
R. V. Sloun
C. Mannaerts
P. H. Moraes
Georg Salomon
M. C. Chammas
H. Wijkstra
M. Mischi
27
14
0
09 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
125
848
0
08 Aug 2019
Unsupervised Domain Adaptation via Disentangled Representations:
  Application to Cross-Modality Liver Segmentation
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
Junlin Yang
Nicha Dvornek
Fan Zhang
Julius Chapiro
Mingde Lin
James S. Duncan
DRLOOD
64
135
0
31 Jul 2019
Self-supervised Domain Adaptation for Computer Vision Tasks
Self-supervised Domain Adaptation for Computer Vision Tasks
Jiaolong Xu
Liang Xiao
Antonio M. López
OODSSLVLM
86
134
0
25 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
83
11
0
13 Jul 2019
To Tune or Not To Tune? How About the Best of Both Worlds?
To Tune or Not To Tune? How About the Best of Both Worlds?
Ran A. Wang
Haibo Su
Chunye Wang
Kailin Ji
J. Ding
VLM
74
17
0
09 Jul 2019
Improving the generalizability of convolutional neural network-based
  segmentation on CMR images
Improving the generalizability of convolutional neural network-based segmentation on CMR images
Chen Chen
Wenjia Bai
R. Davies
A. Bhuva
C. Manisty
...
S. Petersen
E. Lukaschuk
Stefan K. Piechnik
S. Neubauer
Daniel Rueckert
81
120
0
02 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
137
1,614
0
18 Jun 2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring
  out-of-sample generalization of image classifiers
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
Alex X. Lu
Amy X. Lu
W. Schormann
Marzyeh Ghassemi
D. Andrews
Alan M. Moses
OOD
52
20
0
17 Jun 2019
Attending to Discriminative Certainty for Domain Adaptation
Attending to Discriminative Certainty for Domain Adaptation
V. Kurmi
Shanu Kumar
Vinay P. Namboodiri
OOD
78
108
0
08 Jun 2019
Recent Advances in Imitation Learning from Observation
Recent Advances in Imitation Learning from Observation
F. Torabi
Garrett A. Warnell
Peter Stone
103
164
0
30 May 2019
$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
ddd-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu
Xiong Zhou
Ragav Venkatesan
Gurumurthy Swaminathan
Orchid Majumder
88
121
0
29 May 2019
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
131
971
0
29 May 2019
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Safa Cicek
Stefano Soatto
OOD
126
118
0
26 May 2019
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point
  Cloud Data
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data
Khaled Saleh
A. Abobakr
Mohammed Attia
Julie Iskander
D. Nahavandi
M. Hossny
3DPC
53
74
0
22 May 2019
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