Adversarial Discriminative Domain Adaptation

Cited by (1,009)

Items 201–300 of 1,009

1. Prior-Based Domain Adaptive Object Detection for Hazy and Rainy Conditions
   Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel · 2020 · Lecture notes in computer science
2. Regularized Fine-Grained Meta Face Anti-Spoofing
   Shao, Rui, Lan, Xiangyuan, Yuen, Pong C. · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
3. Learning to Adapt Invariance in Memory for Person Re-identification
   Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
4. Dynamic Weighted Learning for Unsupervised Domain Adaptation
   Ni Xiao, Lei Zhang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
5. Toward Edge-Based Deep Learning in Industrial Internet of Things
   Fan Liang, Wei Yu, Xing Liu, DAVID W. T. GRIFFITH, Nada Golmie · 2020 · IEEE Internet of Things Journal
6. SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
   Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
7. Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
   Behnam Gholami, Pritish Sahu, Ognjen Oggi Rudovic, Konstantinos Bousmalis, Vladimir Pavlović · 2020 · IEEE Transactions on Image Processing
8. Cross-Domain Self-Supervised Multi-task Feature Learning Using Synthetic Imagery
   Zhongzheng Ren, Yong Jae Lee · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
9. Adversarial-Learned Loss for Domain Adaptation
   Minghao Chen, Shuai Zhao, Xuelong Li, Deng Cai · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
10. Significance-Aware Information Bottleneck for Domain Adaptive Semantic Segmentation
    Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
11. Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction
    Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li · 2020 · IEEE Transactions on Industrial Informatics
12. Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
    Seungmin Lee, Dong-Wan Kim, Namil Kim, Seong-Gyun Jeong · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
13. Domain generalization in rotating machinery fault diagnostics using deep neural networks
    Xiang Li, Zhang We, Hui Ma, Zhong Luo, Xu Li · 2020 · Neurocomputing
14. Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
    Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman · 2020 · Lecture notes in computer science
15. Federated Adversarial Domain Adaptation
    Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko · 2019 · arXiv (Cornell University)
16. Unsupervised Domain Adaptation in Semantic Segmentation: A Review
    Marco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh · 2020 · Technologies
17. Domain Adaptation Without Source Data
    Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, Sungeun Hong · 2021 · IEEE Transactions on Artificial Intelligence
18. DADA: Depth-Aware Domain Adaptation in Semantic Segmentation
    Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
19. Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities
    Galkin, Fedor, Mamoshina, Polina, Aliper, Alex, de Magalhães, João Pedro, Gladyshev, Vadim N., Zhavoronkov, Alex · 2020 · Ageing Research Reviews
20. AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
    Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
21. Domain Adaptation with Auxiliary Target Domain-Oriented Classifier
    Jian Liang, Dapeng Hu, Jiashi Feng · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
22. Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
    Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan · 2020 · IEEE Transactions on Image Processing
23. Duplex Generative Adversarial Network for Unsupervised Domain Adaptation
    Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
24. Domain Adaptation With Neural Embedding Matching
    Zengmao Wang, Bo Du, Yuhong Guo · 2019 · IEEE Transactions on Neural Networks and Learning Systems
25. Automatic Adaptation of Object Detectors to New Domains Using Self-Training
    Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Miller · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
26. TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
    Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang · 2023 · IEEE Winter Conference on Applications of Computer Vision
27. Stochastic Classifiers for Unsupervised Domain Adaptation
    Zhihe Lu, Yongxin Yang, Xiatian Zhu, Cong Liu, Yi-Zhe Song, Tao Xiang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
28. Self-Supervised Learning for Domain Adaptation on Point Clouds
    Idan Achituve, Haggai Maron, Gal Chechik · 2021 · IEEE Winter Conference on Applications of Computer Vision
29. MixStyle Neural Networks for Domain Generalization and Adaptation
    Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang · 2023 · International Journal of Computer Vision
30. Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations
    Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram, Pavitra Krishnaswamy, Nasir Rajpoot · 2021 · IEEE Transactions on Medical Imaging
31. State of the art: a review of sentiment analysis based on sequential transfer learning
    Jireh Yi-Le Chan, Khean Thye Bea, Steven Mun Hong Leow, Seuk Wai Phoong, Wai Khuen Cheng · 2022 · Artificial Intelligence Review
32. Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
    Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jae-Kwon Yoo, Ruxin Chen, Jian De Zheng · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
33. Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
    Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi · 2018 · arXiv (Cornell University)
34. Semantic-Aware Domain Generalized Segmentation
    Duo Peng, Yinjie Lei, Munawar Hayat, Yulan Guo, Wen Li · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
35. Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art
    Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha · 2024 · Machine Learning Science and Technology
36. Adversarial Continual Learning
    Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach · 2020 · Lecture notes in computer science
37. Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss
    Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe, Elisa Ricci · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
38. Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation
    Cheng Chen, Qi Dou, Hao Chen, Pheng‐Ann Heng · 2018 · Lecture notes in computer science
39. Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions
    Qi Li, Changqing Shen, Liang Chen, Zhongkui Zhu · 2020 · Mechanical Systems and Signal Processing
40. Image synthesis with adversarial networks: A comprehensive survey and case studies
    Pourya Shamsolmoali, Masoumeh Zareapoor, Éric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang · 2021 · Information Fusion
41. OVANet: One-vs-All Network for Universal Domain Adaptation
    Kuniaki Saito, Kate Saenko · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
42. Two-Branch Attention Adversarial Domain Adaptation Network for Hyperspectral Image Classification
    Yi Huang, Jiangtao Peng, Weiwei Sun, Na Chen, Qian Du, Yujie Ning, Han Su · 2022 · IEEE Transactions on Geoscience and Remote Sensing
43. CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
    Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin · 2021 · arXiv (Cornell University)
44. Deep Defocus Map Estimation Using Domain Adaptation
    Junyong Lee, Sungkil Lee, Sunghyun Cho, Seungyong Lee · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
45. RGB-IR Person Re-identification by Cross-Modality Similarity Preservation
    Ancong Wu, Wei‐Shi Zheng, Shaogang Gong, Jianhuang Lai · 2020 · International Journal of Computer Vision
46. A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification
    Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
47. Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
    Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Luigi Sangiovanni-Vincentelli · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
48. SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation
    Liang Du, Jingang Tan, Hongye Yang, Jianfeng Feng, Xiangyang Xue, Qibao Zheng, Xiaoqing Ye, Xiaolin Zhang · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
49. Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition
    Zhunan Li, Enwei Zhu, Ming Jin, Cunhang Fan, Huiguang He, Ting Cai, Jinpeng Li · 2022 · IEEE Journal of Biomedical and Health Informatics
50. Domain Adaptive Transfer Learning for Fault Diagnosis
    Qin Wang, Gabriel Michau, Olga Fink · 2019 · Prognostics and System Health Management Conference
51. Learning to Detect Open Classes for Universal Domain Adaptation
    Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang · 2020 · Lecture notes in computer science
52. Dual Mixup Regularized Learning for Adversarial Domain Adaptation
    Yuan Wu, Diana Zaiu Inkpen, Ahmed El-Roby · 2020 · Lecture notes in computer science
53. Next-generation deep learning based on simulators and synthetic data
    Celso M. de Melo, Antonio B. Torralba, Leonidas J. Guibas, James J. DiCarlo, Rama Chellappa, Jessica K. Hodgins · 2021 · Trends in Cognitive Sciences
54. Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation
    Jiwoong Jeong, Amara Tariq, Tobiloba Adejumo, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee · 2022 · Journal of Imaging Informatics in Medicine
55. Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
    Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I. Jordan · 2019 · neural information processing systems
56. Machine Learning for Security and the Internet of Things: The Good, the Bad, and the Ugly
    Fan Liang, William Grant Hatcher, Weixian Liao, Weichao Gao, Wei Yu · 2019 · IEEE Access
57. A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis
    Zheng Chai, Chunhui Zhao · 2020 · IEEE Transactions on Automation Science and Engineering
58. Unsupervised Domain Adaptive Graph Convolutional Networks
    Man Wu, Shirui Pan, Chuan De Zhou, Xiaojun Chang, Xingquan Zhu A · 2020 · International World Wide Web Conference (WWW)
59. Adversarial Transfer Learning for Deep Learning Based Automatic Modulation Classification
    Ke Bu, Yuan He, Xiaojun Jing, Jindong Han · 2020 · IEEE Signal Processing Letters
60. On the Effectiveness of Image Rotation for Open Set Domain Adaptation
    Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi · 2020 · Lecture notes in computer science
61. Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
    Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan · 2021 · International Joint Conference on Artificial Intelligence
62. Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
    Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
63. Source-Free Domain Adaptation via Distribution Estimation
    Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
64. IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
    Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling‐Yu Duan · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
65. A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis
    Xin Wang, Hongkai Jiang, Mingzhe Mu, Yutong Dong · 2024 · Reliability Engineering & System Safety
66. Retraining Strategy-Based Domain Adaption Network for Intelligent Fault Diagnosis
    Yan Song, Yibin Li, Lei Jia, Meikang Qiu A · 2019 · IEEE Transactions on Industrial Informatics
67. Domain Impression: A Source Data Free Domain Adaptation Method
    Vinod K Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri · 2021 · IEEE Winter Conference on Applications of Computer Vision
68. Multiscale Domain Adaptive Yolo For Cross-Domain Object Detection
    Mazin Hnewa, Hayder Radha · 2021 · Proceedings - International Conference on Image Processing
69. Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
    Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
70. Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis
    Zhaohua Liu, Biliang Lu, Hua‐Liang Wei, Lei Chen, Xiaohua Li, Matthias Rätsch · 2019 · IEEE Transactions on Systems Man and Cybernetics Systems
71. Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection
    Guoqing Wang, Hu Han, Shiguang Shan, Xilin Chen · 2020 · IEEE Transactions on Information Forensics and Security
72. Few-Shot Adaptive Faster R-CNN
    Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
73. Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather
    Li, Jinlong, Xu, Runsheng, Ma, Jin, Zou, Qin, Ma, Jiaqi, Yu, Hongkai · 2023 · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
74. Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
    Li Yi, Boqing Gong, Thomas A. Funkhouser · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
75. Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
    Shiqi Yang, yaxing wang, Joost van de Weijer, Luis Herranz, Shangling Jui · 2021 · arXiv (Cornell University)
76. Deep Residual Correction Network for Partial Domain Adaptation
    Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Ming Huang, Zhengming Ding · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
77. Towards Robust Pattern Recognition: A Review
    Xu-Yao Zhang, Cheng‐Lin Liu, Ching Y. Suen · 2020 · Proceedings of the IEEE
78. Two-step domain adaptation for underwater image enhancement
    Qun Jiang, Yunfeng Zhang, Fangxun Bao, Xiuyang Zhao, Caiming Zhang, Пэйдэ Лю · 2021 · Pattern Recognition
79. SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
    Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
80. Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
    Mattia Litrico, A. Del Bue, Pietro Morerio · 2023 · Computer Vision and Pattern Recognition
81. Image Generation From Small Datasets via Batch Statistics Adaptation
    Atsuhiro Noguchi, Tatsuya Harada · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
82. Correlation-aware adversarial domain adaptation and generalization
    Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan · 2019 · Pattern Recognition
83. Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation
    Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
84. Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
    Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
85. Unsupervised Multi-source Domain Adaptation Without Access to Source Data
    Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul, Samet Oymak, Amit K. Roy–Chowdhury · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
86. DA-DCGAN: An Effective Methodology for DC Series Arc Fault Diagnosis in Photovoltaic Systems
    Shibo Lu, Tharmakulasingam Sirojan, B.T. Phung, Daming Zhang, Eliathamby Ambikairajah A · 2019 · IEEE Access
87. Unsupervised Domain Adaptation through Self-Supervision
    Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros · 2019 · arXiv (Cornell University)
88. Self-Supervised Domain Adaptation for Computer Vision Tasks
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89. Increasing the robustness of material-specific deep learning models for crack detection across different materials
    Mohamad Alipour, Devin K. Harris · 2020 · Engineering Structures
90. Active Learning for Domain Adaptation: An Energy-Based Approach
    Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
91. Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST
    Zhi‐Jie Cao, Wei Lin, Lu Shen, De-Chang Yang, Ge Gao · 2020 · Nature Communications
92. Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks
    Xiang Li, Zhang We, Hui Ma, Zhong Luo, Xu Li · 2020 · Neural Networks
93. Joint distribution adaptation with diverse feature aggregation: A new transfer learning framework for bearing diagnosis across different machines
    Shiyao Jia, Yafei Deng, Jun Lv, Shichang Du, Zhiyuan Xie · 2021 · Measurement
94. Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
    Qingchao Chen, Yang Liu, Zhaowen Wang, Ian James Wassell, Kevin Chetty · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
95. Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
    Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
96. Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
    Soleimani, Elnaz, Nazerfard, Ehsan · 2021 · Neurocomputing
97. Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation
    Xu Yang, Cheng Dan Deng, Tongliang Liu, Dacheng Tao · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
98. Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning
    Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Lingbo Liu, Liang Lin · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
99. Spherical Space Domain Adaptation With Robust Pseudo-Label Loss
    Xiang Gu, Jian Zhong Sun, Zongben Xu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
100. Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks
     Bo Zhang, Wei Li, Xiaoli Li, See-Kiong Ng · 2018 · IEEE Access