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Universal Domain Adaptation (UniDA) deals with the problem of knowledge transfer between two datasets with domain-shift as well as category-shift.
Analysis of representations for domain adaptation
Shai Ben-David, John Blitzer, Koby Crammer, and Fernando Pereira · 2006
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Evaluating bag-of-visual-words representations in scene classification
Jun Yang, Yu-Gang Jiang, Alexander G. Hauptmann, and Chong-Wah Ngo · 2007
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Discovery of collocation patterns: from visual words to visual phrases
Junsong Yuan, Ying Wu, and Ming Yang · 2007
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Adapting visual category models to new domains
Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell · 2010
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Object classification of aerial images with bag-of-visual words
Sheng Xu, Tao Fang, Deren Li, and Shiwei Wang · 2010
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Word image retrieval using bag of visual words
Ravi Shekhar and C.V. Jawahar · 2012
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Weighted bag of visual words for object recognition
Marco San Biagio, Loris Bazzani, Marco Cristani, and Vittorio Murino · 2014
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Visualizing and understanding convolutional networks
Matthew D Zeiler and Rob Fergus · 2014
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Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Unsupervised domain adaptation with residual transfer networks
Mingsheng Long, Han Zhu, Jianmin Wang, and Michael I Jordan · 2016
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Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
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Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A Efros · 2016
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No more discrimination: Cross city adaptation of road scene segmenters
Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, and Min Sun · 2017
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Colorization as a proxy task for visual understanding
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich · 2017
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Open set domain adaptation
Pau Panareda Busto and Juergen Gall · 2017
Cited alongside, same era.
Deep hashing network for unsupervised domain adaptation
Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, and Sethuraman Panchanathan · 2017
Cited alongside, same era.
Open set domain adaptation for image and action recognition
Pau Panareda Busto, Ahsan Iqbal, and Juergen Gall · 2018
Cited alongside, same era.
Partial adversarial domain adaptation
Zhangjie Cao, Lijia Ma, Mingsheng Long, and Jianmin Wang · 2018
Cited alongside, same era.
Conditional adversarial domain adaptation
Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael I Jordan · 2018
Cited alongside, same era.
Open set domain adaptation by backpropagation
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, and Tatsuya Harada · 2018
Cited alongside, same era.
Open set domain adaptation: Theoretical bound and algorithm
Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, and Guangquan Zhang · 2020
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Learning to detect open classes for universal domain adaptation
Bo Fu, Zhangjie Cao, Mingsheng Long, and Jianmin Wang · 2020
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Learning representations by predicting bags of visual words
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Perez, and Matthieu Cord · 2020
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Exploring category-agnostic clusters for open-set domain adaptation
Yingwei Pan, Ting Yao, Yehao Li, Chong-Wah Ngo, and Tao Mei · 2020
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Generative-discriminative feature representations for open-set recognition
Pramuditha Perera, Vlad I Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, and Vishal M Patel · 2020
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Universal domain adaptation through self supervision
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Importance weighted adversarial nets for partial domain adaptation
Jing Zhang, Zewei Ding, Wanqing Li, and Philip Ogunbona · 2018
Cited alongside, same era.
Learning to transfer examples for partial domain adaptation
Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, and Qiang Yang · 2019
Cited alongside, same era.
Domain generalization by solving jigsaw puzzles
Fabio Maria Carlucci, Antonio D’Innocente, Silvia Bucci, Barbara Caputo, and Tatiana Tommasi · 2019
Cited alongside, same era.
Self-supervised domain adaptation for computer vision tasks
Xu Jiaolong, Xiao Liang, and Antonio M. López · 2019
Cited alongside, same era.
Separate to adapt: Open set domain adaptation via progressive separation
Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, and Qiang Yang · 2019
Cited alongside, same era.
C2AE: Class conditioned auto-encoder for open-set recognition
Poojan Oza and Vishal M Patel · 2019
Cited alongside, same era.
Kuniaki Saito, Donghyun Kim, Stan Sclaroff, and Kate Saenko · 2020
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Do adversarially robust imagenet models transfer better?
Hadi Salman, Andrew Ilyas, Logan Engstrom, Ashish Kapoor, and Aleksander Madry · 2020
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Open-set hypothesis transfer with semantic consistency
Zeyu Feng, Chang Xu, and Dacheng Tao · 2021
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OBoW: Online bag-of-visual-words generation for self-supervised learning
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, and Patrick Perez · 2021
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Generalize then adapt: Source-free domain adaptive semantic segmentation
Jogendra Nath Kundu, Akshay Kulkarni, Amit Singh, Varun Jampani, and R. Venkatesh Babu · 2021
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Domain consensus clustering for universal domain adaptation
Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, and Yi Yang · 2021
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Surprisingly simple semi-supervised domain adaptation with pretraining and consistency
Samarth Mishra, Kate Saenko, and Venkatesh Saligrama · 2021
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Generalized domain adaptation
Yu Mitsuzumi, Go Irie, Daiki Ikami, and Takashi Shibata · 2021
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OVANet: One-vs-all network for universal domain adaptation
Kuniaki Saito and Kate Saenko · 2021
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On the geometry of generalization and memorization in deep neural networks
Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, and SueYeon Chung · 2021
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Pseudo-margin-based universal domain adaptation
Yueming Yin, Zhen Yang, Xiaofu Wu, and Haifeng Hu · 2021
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Self-supervised universal domain adaptation with adaptive memory separation
Ronghang Zhu and Sheng Li · 2021
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A closer look at smoothness in domain adversarial training
Harsh Rangwani, Sumukh K Aithal, Mayank Mishra, Arihant Jain, and R. Venkatesh Babu · 2022
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