Adversarial Discriminative Domain Adaptation

Cited by (1,009)

Items 101–200 of 1,009

1. A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
   Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto Luigi Sangiovanni-Vincentelli, Sanjit Arunkumar Seshia et al. · 2020 · IEEE Transactions on Neural Networks and Learning Systems
2. Domain-Symmetric Networks for Adversarial Domain Adaptation
   Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
3. Racial faces in the wild: Reducing racial bias by information maximization adaptation network
   Wang, Mei, Deng, Weihong, Hu, Jiani, Tao, Xunqiang, Huang, Yaohai · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
4. Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
   Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng‐Ann Heng · 2018 · International Joint Conference on Artificial Intelligence
5. Maximum Density Divergence for Domain Adaptation
   Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lü, Heng Tao Shen · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
6. Exploring Categorical Regularization for Domain Adaptive Object Detection
   Xu, Chang-Dong, Zhao, Xing-Ran, Jin, Xin, Wei, Xiu-Shen · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
7. Domain Adaptation for Structured Output via Discriminative Patch Representations
   Yi–Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Krishna Chandraker · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
8. Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
   Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
9. Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
   Hui Tang, Ke Chen, Kui Jia · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
10. A Survey of Transfer Learning for Convolutional Neural Networks
    Ricardo Ribani, Maurício Marengoni · 2019 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
11. Measuring Domain Shift for Deep Learning in Histopathology
    Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes F. Lundström · 2020 · IEEE Journal of Biomedical and Health Informatics
12. Domain Adaptation for Semantic Segmentation With Maximum Squares Loss
    Minghao Chen, Hongyang Xue, Deng Cai · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
13. Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks
    Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih‐Fu Chang · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
14. Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
    Qi, Guo-Jun, Luo, Jiebo · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
15. Transfer adaptation learning: A decade survey
    Zhang, Lei, Gao, Xinbo · 2024 · IEEE Transactions on Neural Networks and Learning Systems
16. Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
    Hung-Yu Tseng, Hsin-Ying Lee, Jia‐Bin Huang, Ming–Hsuan Yang · 2020 · arXiv (Cornell University)
17. Unsupervised Domain Adaptation of Object Detectors: A Survey
    Oza, Poojan, Sindagi, Vishwanath A., VS, Vibashan, Patel, Vishal M. · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
18. Domain Adaptive Ensemble Learning
    Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang · 2021 · IEEE Transactions on Image Processing
19. Recommending what video to watch next
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20. A survey on incorporating domain knowledge into deep learning for medical image analysis
    Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Zhengsu Chen, Shaojie Tang, Shui Yu · 2021 · Medical Image Analysis
21. CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency
    Yunchun Chen, Yen‐Yu Lin, Ming–Hsuan Yang, Jia‐Bin Huang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
22. Transferable Attention for Domain Adaptation
    Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
23. CamStyle: A Novel Data Augmentation Method for Person Re-Identification
    Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, Yi Yang · 2018 · IEEE Transactions on Image Processing
24. Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery
    Zhuyun Chen, Guolin He, Jipu Li, Yixiao Liao, Konstantinos Gryllias, Weihua Li · 2020 · IEEE Transactions on Instrumentation and Measurement
25. FSDR: Frequency Space Domain Randomization for Domain Generalization
    Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
26. Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning
    Xiang Li, Zhang We, Qian Ding, Xu Li · 2019 · IEEE Transactions on Industrial Informatics
27. Gradually Vanishing Bridge for Adversarial Domain Adaptation
    Shuhao Cui, Shuhui Wang, Junbao Zhuo, Chi Su, Qingming Huang, Qi Chuan Tian · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
28. Learning to Transfer Examples for Partial Domain Adaptation
    Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
29. A Survey of End-to-End Driving: Architectures and Training Methods
    Ardi Tampuu, Tambet Matiisen, Maksym Semikin, Dmytro Fishman, Naveed Muhammad · 2020 · IEEE Transactions on Neural Networks and Learning Systems
30. Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity
    Jinpeng Li, Shuang Qiu, Changde Du, Yixin Wang, Huiguang He · 2019 · IEEE Transactions on Cognitive and Developmental Systems
31. DeepCDA: deep cross-domain compound–protein affinity prediction through LSTM and convolutional neural networks
    Karim Abbasi, Parvin Razzaghi, Antti Poso, Massoud Amanlou, Jahan Bakhsh Ghasemi, Ali Masoudi‐Nejad · 2020 · Bioinformatics
32. Deep Clustering: A Comprehensive Survey
    Ya-Zhou Ren, Jingyu Pu, Zhimeng Yang, Jie Xu, Guofeng Li, Xiao-Rong Pu, Philip S. Yu, Lifang He · 2022 · IEEE Transactions on Neural Networks and Learning Systems
33. Multi-representation adaptation network for cross-domain image classification
    Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He · 2019 · Neural Networks
34. Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning
    Zhang We, Xiang Li, Hui Ma, Zhong Luo, Xu Li · 2021 · IEEE Transactions on Industrial Informatics
35. Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
    Tianfu Li, Zhibin Zhao, Chuang Sun, Ruqiang Yan, Xuefeng Chen · 2021 · IEEE Transactions on Instrumentation and Measurement
36. Contrastive Test-Time Adaptation
    Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi · 2022 · Computer Vision and Pattern Recognition
37. Cross-Domain Adaptive Teacher for Object Detection
    Yu-Jhe Li, Xiaoliang Dai, Chih‐Yao Ma, Yen‐Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Péter Vajda · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
38. A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts
    Jian Liang, R. He, Tien-Ping Tan · 2023 · International Journal of Computer Vision
39. A Robust Learning Approach to Domain Adaptive Object Detection
    Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
40. Transfer Learning with Dynamic Distribution Adaptation
    Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang · 2020 · ACM Transactions on Intelligent Systems and Technology
41. Real-Time Monocular Depth Estimation Using Synthetic Data with Domain Adaptation via Image Style Transfer
    Amir Atapour–Abarghouei, Toby P. Breckon · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
42. WILDS: A Benchmark of in-the-Wild Distribution Shifts
    Koh, Pang Wei, Sagawa, Shiori, Marklund, Henrik, Xie, Sang Michael, Zhang, Marvin, Balsubramani, Akshay, Hu, Weihua, Yasunaga, Michihiro, Phillips, Richard Lanas, Gao, Irena et al. · 2020 · arXiv
43. Universal Source-Free Domain Adaptation
    Jogendra Nath Kundu, Naveen Venkat, M Rahul, R. Venkatesh Babu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
44. Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification
    Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz · 2020 · Lecture notes in computer science
45. Cross-Domain Detection via Graph-Induced Prototype Alignment
    Minghao Xu, Hang Wang, Bingbing Ni, Qi Chuan Tian, Wenjun Zhang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
46. Locality Preserving Joint Transfer for Domain Adaptation
    Jingjing Li, Mengmeng Jing, Ke Lü, Lei Zhu, Heng Tao Shen · 2019 · IEEE Transactions on Image Processing
47. Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning
    Zhang We, Xiang Li, Hui Ma, Zhong Luo, Xu Li · 2021 · IEEE Transactions on Industrial Informatics
48. Clothes-Changing Person Re-identification with RGB Modality Only
    Xinqian Gu, Hong Chang, Bingpeng Ma, Shutao Bai, Shiguang Shan, Xilin Chen · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
49. Transfer Learning
    Qiang Yang, Yu Zhang, Wenyuan Dai, Sinno Jialin Pan · 2020 · Cambridge University Press eBooks
50. Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
    Jiaxian Chen, Ruyi Huang, Zhuyun Chen, Wentao Mao, Weihua Li · 2023 · Mechanical Systems and Signal Processing
51. All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation
    Wei-Lun Chang, Hui‐Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
52. Cluster Alignment With a Teacher for Unsupervised Domain Adaptation
    Zhijie Deng, Yucen Luo, Jun Zhu · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
53. Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
    Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li · 2019 · International World Wide Web Conference (WWW)
54. Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
    Muhammad Abdullah Jamal, Matthew Brown, Ming–Hsuan Yang, Liqiang Wang, Boqing Gong · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
55. A Comprehensive Survey on Source-Free Domain Adaptation
    Jingjing Li, Zhiqi Yu, Zhekai Du, Lei Zhu, Heng Tao Shen · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
56. Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
    Yangtao Zheng, Di Huang, Songtao Liu, Yunhong Wang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
57. Every Pixel Matters: Center-Aware Feature Alignment for Domain Adaptive Object Detector
    Cheng-Chun Hsu, Yi–Hsuan Tsai, Yen‐Yu Lin, Ming–Hsuan Yang · 2020 · Lecture notes in computer science
58. AdaRNN
    Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
59. Incremental Learning Through Deep Adaptation
    Amir Rosenfeld, John K. Tsotsos · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
60. Associative Domain Adaptation
    Philip Haeusser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
61. DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation
    Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbaş, Tom Goldstein, Ser Nam Lim, Larry Steven Davis · 2018 · Lecture notes in computer science
62. Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
    Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
63. Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
    Qian Wang, Toby P. Breckon · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
64. FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
    Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
65. Knowledge Transfer for Rotary Machine Fault Diagnosis
    Ruqiang Yan, Fei Shen, Chuang Sun, Xuefeng Chen · 2019 · IEEE Sensors Journal
66. Domain Adaptation: Challenges, Methods, Datasets, and Applications
    Peeyush Singhal, Rahee A. Walambe, Sheela Ramanna, Ketan V. Kotecha · 2023 · IEEE Access
67. From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN
    Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi, Barbara Caputo B · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
68. Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
    Chao Chen, Zhihong Chen, Boyuan Jiang, Xinyu Jin · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
69. Night-to-Day Image Translation for Retrieval-based Localization
    Asha Anoosheh, Torsten Sattler, Radu Timofte, Marc Pollefeys, Luc Van Gool · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
70. Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
    Yue Zhang, Shun Miao, Tommaso Mansi, Rui Liao · 2018 · Lecture notes in computer science
71. Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
    Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
72. HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
    Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian‐Sheng Hua · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
73. Multi-Source Distilling Domain Adaptation
    Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
74. Residual joint adaptation adversarial network for intelligent transfer fault diagnosis
    Jinyang Jiao, Ming Jie Zhao, Jing Lin, Kaixuan Liang · 2020 · Mechanical Systems and Signal Processing
75. MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
    Vibashan VS, Vikram Gupta, Poojan Oza, Vishwanath A. Sindagi, Vishal M. Patel · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
76. Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
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77. Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
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78. Enhanced Transport Distance for Unsupervised Domain Adaptation
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79. Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation
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80. A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
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81. Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images
    Bilel Benjdira, Yakoub Bazi, Anis Koubâa, Kais Ouni · 2019 · Remote Sensing
82. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
    Jonathan Munro, Dima Damen · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
83. Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics
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84. Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
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85. Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification
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86. SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
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87. Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places
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88. Adaptive Adversarial Network for Source-free Domain Adaptation
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89. Towards Universal Object Detection by Domain Attention
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90. PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation
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91. A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery
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92. Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy
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93. Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation
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94. Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
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95. Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
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96. Cross-Domain Adaptation for Animal Pose Estimation
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97. Discriminative Adversarial Domain Adaptation
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98. A Review on Evolutionary Multitask Optimization: Trends and Challenges
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99. Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
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100. Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
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