Projects
Reading
People
Chat
SU\G
(𝔸)
/K·U
Projects
Reading
People
Chat
Sign Up
Light
Dark
System
Hallucinating Agnostic Images to Generalize Across Domains
Fabio Maria Carlucci
,
Paolo Russo
,
Tatiana Tommasi
,
Barbara Caputo
Type:
Preprint
Publication Date:
2018-08-03
Citations:
13
View Publication
Share
Locations
arXiv (Cornell University) -
View
Similar Works
Action
Title
Year
Authors
+
PDF
Chat
Hallucinating Agnostic Images to Generalize Across Domains
2019
Fabio Maria Carlucci
Paolo Russo
Tatiana Tommasi
Barbara Caputo
+
Hallucinating Agnostic Images to Generalize Across Domains
2018
Fabio Maria Carlucci
Paolo Russo
Tatiana Tommasi
Barbara Caputo
+
Agnostic Domain Generalization.
2018
Fabio Maria Carlucci
Paolo Russo
Tatiana Tommasi
Barbara Caputo
+
PDF
Chat
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
2017
Konstantinos Bousmalis
Nathan Silberman
David Dohan
Dumitru Erhan
Dilip Krishnan
+
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
2016
Konstantinos Bousmalis
Nathan Silberman
David Dohan
Dumitru Erhan
Dilip Krishnan
+
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
2016
Konstantinos Bousmalis
Nathan Silberman
David Dohan
Dumitru Erhan
Dilip Krishnan
+
Improving Diversity with Adversarially Learned Transformations for Domain Generalization
2022
Tejas Gokhale
Rushil Anirudh
Jayaraman J. Thiagarajan
Bhavya Kailkhura
Chitta Baral
Yezhou Yang
+
PDF
Chat
TriGAN: image-to-image translation for multi-source domain adaptation
2021
Subhankar Roy
Aliaksandr Siarohin
Enver Sangineto
Nicu Sebe
Elisa Ricci
+
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
2022
Kendrick Shen
R. Jones
Ananya Kumar
Sang Michael Xie
Jeff Z. HaoChen
Tengyu Ma
Percy Liang
+
Adversarial Transfer Learning for Cross-domain Visual Recognition
2017
Shanshan Wang
Lei Zhang
Jingru Fu
+
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
2018
Luan Tran
Kihyuk Sohn
Yu Xiang
Xiaoming Liu
Manmohan Chandraker
+
PDF
Chat
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
2019
Luan Tran
Kihyuk Sohn
Yu Xiang
Xiaoming Liu
Manmohan Chandraker
+
PDF
Chat
Improving Diversity with Adversarially Learned Transformations for Domain Generalization
2023
Tejas Gokhale
Rushil Anirudh
Jayaraman J. Thiagarajan
Bhavya Kailkhura
Chitta Baral
Yezhou Yang
+
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
2019
Shaokai Ye
Kailu Wu
Mu Zhou
Yunfei Yang
Sia Huat Tan
Kaidi Xu
Jiebo Song
Chenglong Bao
Kaisheng Ma
+
PDF
Chat
Attending to Discriminative Certainty for Domain Adaptation
2019
Vinod K Kurmi
Shanu Kumar
Vinay P. Namboodiri
+
Attending to Discriminative Certainty for Domain Adaptation
2019
Vinod K Kurmi
Shanu Kumar
Vinay P. Namboodiri
+
Attending to Discriminative Certainty for Domain Adaptation
2019
Vinod K Kurmi
Shanu Kumar
Vinay P. Namboodiri
+
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
2020
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo Li
Han Zhao
Bichen Wu
Ravi Krishna
Joseph E. Gonzalez
Alberto Sangiovanni‐Vincentelli
Sanjit A. Seshia
+
PDF
Chat
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
2020
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo Li
Han Zhao
Bichen Wu
Ravi Krishna
Joseph E. Gonzalez
Alberto Sangiovanni‐Vincentelli
Sanjit A. Seshia
+
Progressive Random Convolutions for Single Domain Generalization
2023
Seokeon Choi
Debasmit Das
Sungha Choi
Seung-Han Yang
Hyunsin Park
Sungrack Yun
Works That Cite This (10)
Action
Title
Year
Authors
+
DIVA: Domain Invariant Variational Autoencoders
2019
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
+
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation
2019
Yundong Zhang
Hang Wu
Huiye Liu
Tong Li
May D. Wang
+
Learning Robust Representations by Projecting Superficial Statistics Out
2019
Haohan Wang
Zexue He
Zachary C. Lipton
Eric P. Xing
+
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
2021
Haohan Wang
Zeyi Huang
Hanlin Zhang
Eric P. Xing
+
A Fine-Grained Analysis on Distribution Shift.
2021
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Sofia Ira Ktena
Krishnamurthy Dvijotham
Ali Taylan Cemgil
+
Open Domain Generalization with Domain-Augmented Meta-Learning
2021
Shu Yang
Zhangjie Cao
Chenyu Wang
Jianmin Wang
Mingsheng Long
+
In Search of Lost Domain Generalization
2020
Ishaan Gulrajani
David López-Paz
+
A Survey of Unsupervised Deep Domain Adaptation
2018
Garrett Wilson
Diane J. Cook
+
Learning Robust Global Representations by Penalizing Local Predictive Power
2019
Haohan Wang
Songwei Ge
Eric P. Xing
Zachary C. Lipton
+
Mitigating the Effect of Dataset Bias on Training Deep Models for Biomedical Images.
2019
Yundong Zhang
Hang Wu
Huiye Liu
Tong Li
May D. Wang
Works Cited by This (33)
Action
Title
Year
Authors
+
Deep Domain Confusion: Maximizing for Domain Invariance
2014
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
+
PDF
Chat
Domain-Adversarial Training of Neural Networks
2017
Yaroslav Ganin
Evgeniya Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
Mario Marchand
Victor Lempitsky
+
PDF
Chat
Domain Generalization for Object Recognition with Multi-task Autoencoders
2015
Muhammad Ghifary
W. Bastiaan Kleijn
Mengjie Zhang
David Balduzzi
+
PDF
Chat
Hypercolumns for object segmentation and fine-grained localization
2015
Bharath Hariharan
Pablo Arbeláez
Ross Girshick
Jitendra Malik
+
PDF
Chat
Going deeper with convolutions
2015
Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
+
Frustratingly Easy Domain Adaptation
2009
Hal Daumé
+
PDF
Chat
Simultaneous Deep Transfer Across Domains and Tasks
2015
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
+
PDF
Chat
Beyond Sharing Weights for Deep Domain Adaptation
2018
Artem Rozantsev
Mathieu Salzmann
Pascal Fua
+
PDF
Chat
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
2016
Muhammad Ghifary
W. Bastiaan Kleijn
Mengjie Zhang
David Balduzzi
Wen Li
+
Domain Separation Networks
2016
Konstantinos Bousmalis
George Trigeorgis
Nathan Silberman
Dilip Krishnan
Dumitru Erhan