Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Bousmalis, Konstantinos, Silberman, Nathan, Dohan, David, Erhan, Dumitru, Krishnan, Dilip·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2017.18

Cited by (1,000)

Items 701–800 of 1,000

  1. Comparison of deep convolution and least squares GANs for diabetic retinopathy image synthesis
    İsa Ataş · 2023 · Neural Computing and Applications
  2. Source-free Unsupervised Domain Adaptation for 3D Object Detection in Adverse Weather
    Deepti Hegde, Velat Kilic, Vishwanath A. Sindagi, A. Brinton Cooper, Mark A. Foster, Vishal M. Patel · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  3. DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition
    Pedro M. Ferreira, Diogo Pernes, Ana Rebelo, Jaime S. Cardoso · 2019 · IEEE Transactions on Systems Man and Cybernetics Systems
  4. Few-Sample and Adversarial Representation Learning for Continual Stream Mining
    Zhuoyi Wang, Yigong Wang, Yu Lin, Evan D. DeLord, Khan Latifur · 2020 · International World Wide Web Conference (WWW)
  5. Neural Hair Rendering
    Menglei Chai, Jian Min Ren, Sergey Tulyakov · 2020 · Lecture notes in computer science
  6. Zero-shot Deep Domain Adaptation with Common Representation Learning
    Mohammed Kutbi, Kuan–Chuan Peng, Ziyan Wu · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  7. Bi-directional class-wise adversaries for unsupervised domain adaptation
    Guanglei Yang, Mingli Ding, Yongqiang Zhang · 2021 · Applied Intelligence
  8. Generic semi-supervised adversarial subject translation for sensor-based activity recognition
    Elnaz Soleimani, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat · 2022 · Neurocomputing
  9. Slimmable Domain Adaptation
    Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  10. Beyond Supervised Learning: A Computer Vision Perspective
    Lovish Chum, Anbumani Subramanian, Vineeth Nallure Balasubramanian, C. V. Jawahar · 2019 · Journal of the Indian Institute of Science
  11. Truly Generalizable Radiograph Segmentation With Conditional Domain Adaptation
    Hugo Oliveira, Edemir Ferreira, Jefersson A. Dos Santos · 2020 · IEEE Access
  12. CardioGAN: An Attention-based Generative Adversarial Network for Generation of Electrocardiograms
    Subhrajyoti Dasgupta, Sudip Kumar Das, Ujjwal Bhattacharya · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  13. A Dual-Branch Self-Boosting Framework for Self-Supervised 3D Hand Pose Estimation
    Pengfei Ren, Haifeng Sun, Jiachang Hao, Qi Qi, Jingyu Wang, Jianxin Liao · 2022 · IEEE Transactions on Image Processing
  14. Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring
    Ziqing Deng, Xiaofang Chen, Yongfang Xie, Zhong Zou, Hongliang Zhang · 2023 · Information Sciences
  15. Joint Distribution Adaptive-Alignment for Cross-Domain Segmentation of High-Resolution Remote Sensing Images
    Haitao Huang, Baopu Li, Yuchen Zhang, Tao Chen, Bin Wang · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  16. Infrared–Visible Image Fusion through Feature-Based Decomposition and Domain Normalization
    Weiyi Chen, Lingjuan Miao, Yuhao Wang, Zhiqiang Zhou, Yajun Qiao · 2024 · Remote Sensing
  17. CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
    Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  18. Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
    Taotao Jing, Bingrong Xu, Zhengming Ding · 2021 · IEEE Transactions on Image Processing
  19. Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control
    Chengjie Yuan, Yunlei Shi, Qian Feng, Chunyang Chang, Michael Liu, Zhaopeng Chen, Alois Knoll, Jianwei Zhang · 2022 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
  20. Deep Reader: Information Extraction from Document Images via Relation Extraction and Natural Language
    D. Vishwanath, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam M. Shroff, Ashwin Srinivasan · 2019 · Lecture notes in computer science
  21. Unbiased rheological properties determined by adversarial training with Bingham equation
    In Kuk Kang, Tae Yong Shin, Jae Hong Kim · 2025 · Cement and Concrete Composites
  22. A Flexible Selection Scheme for Minimum-Effort Transfer Learning
    Amélie Royer, Christoph H. Lampert · 2020 · IEEE Winter Conference on Applications of Computer Vision
  23. KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning
    Mohamed Azzam, Wenhao Wu, Wenming Cao, Si Wu, Hau−San Wong · 2020 · IEEE Transactions on Multimedia
  24. N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation
    Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, A. Bottino, Barbara Caputo B, Matteo Matteucci · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  25. AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
    Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Yue-Xin Ma, Zhe Wang, Jian-Ping Shi · 2021 · International Journal of Computer Vision
  26. Ambiguousness-Aware State Evolution for Action Prediction
    Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
  27. Domain adaptation with a shrinkable discrepancy strategy for cross-domain sentiment classification
    Yanping Fu, Yun Liu · 2022 · Neurocomputing
  28. DADRnet: Cross-domain image dehazing via domain adaptation and disentangled representation
    Xiaopeng Li, Hu Yu, Chen Zhao, Cien Fan, Lian Zou · 2023 · Neurocomputing
  29. Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation
    Jin Sha Yuan, Feng Hou, Yang Ying, Y.S. Zhang, Zhongchao Shi, Xin Geng, Jianping Fan B, Zhiqiang He, Yong Rui · 2024 · IEEE Transactions on Multimedia
  30. Digital Twin/MARS‐CycleGAN: Enhancing Sim‐to‐Real Crop/Row Detection for MARS Phenotyping Robot Using Synthetic Images
    David Liu, Zhengkun Li, Zihao Wu, Changying Li · 2024 · Journal of Field Robotics
  31. Triplet Loss Network for Unsupervised Domain Adaptation
    Imad Eddine Ibrahim Bekkouch, Youssef Youssry Ibrahim, Rustam Gafarov, Adil Khan, Asad Masood Khattak · 2019 · Algorithms
  32. Deep learning: Generative adversarial networks and adversarial methods
    Jelmer M. Wolterink, Konstantinos Kamnitsas, Christian Ledig, Ivana Išgum · 2019 · Elsevier eBooks
  33. A novel unsupervised adversarial domain adaptation network for remotely sensed scene classification
    Wei Liu, Finlin Su · 2020 · International Journal of Remote Sensing
  34. Augmented Associative Learning-Based Domain Adaptation for Classification of Hyperspectral Remote Sensing Images
    Min Chen, Li Ma, Wenjin Wang, Qian Du · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  35. 6 DoF Pose Estimation of Textureless Objects from Multiple RGB Frames
    Roman Kaskman, Ivan Shugurov, Sergey Zakharov, Slobodan Ilić · 2020 · Lecture notes in computer science
  36. Learning Agile Locomotion via Adversarial Training
    Yujin Tang, Jie Tan, Tatsuya Harada · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  37. SPGAN: Face Forgery Using Spoofing Generative Adversarial Networks
    Yidong Li, Wenhua Liu, Yi Jin, Yuanzhouhan Cao · 2021 · ACM Transactions on Multimedia Computing Communications and Applications
  38. Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement
    Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Yalcin Incesu, Pietro Zanuttigh · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  39. Domain Adaptive Remote Sensing Scene Recognition via Semantic Relationship Knowledge Transfer
    Ying Zhao, Shuang Li, Chi Harold Liu, Yuqi Han, Hao Shi, Wei Li · 2023 · IEEE Transactions on Geoscience and Remote Sensing
  40. Improving the robustness of convolutional networks to appearance variability in biomedical images
    Tolga Taşdizen, Mehdi S. M. Sajjadi, Mehran Javanmardi, Nisha Ramesh · 2018 · IEEE International Symposium on Biomedical Imaging (ISBI)
  41. Historical Document Synthesis with Generative Adversarial Networks
    Vinaychandran Pondenkandath, Michele Alberti, Michael Diatta, Rolf Ingold, Marcus Liwicki · 2019 · International Conference on Document Analysis and Recognition Workshops (ICDARW)
  42. Synthetic-to-Real Domain Adaptation for Lane Detection
    Noa Garnett, Roy Uziel, Netalee Efrat, Dan Levi · 2021 · Lecture notes in computer science
  43. Image Generation From Small Datasets via Batch Statistics Adaptation
    Atsuhiro Noguchi, Tatsuya Harada · 2019 · arXiv (Cornell University)
  44. Sim2real transfer learning for 3D pose estimation: motion to the rescue
    Carl Doersch, Andrew Zisserman · 2019 · arXiv (Cornell University)
  45. Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
    Yabin Zhang, Haojian Zhang, Bin Deng, Li, Shuai, Kui Jia, Lei Zhang A · 2021 · arXiv (Cornell University)
  46. What Matters in Learning a Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study
    Jiayu Chen, Chao Yu, Yuqing Xie, Feng Gao, Yinuo Chen, Shu'ang Yu, Wenhao Tang, Shilong Ji, Mo Mu, Yi Wu et al. · 2025 · IEEE Robotics and Automation Letters
  47. HSIGAN: A Conditional Hyperspectral Image Synthesis Method With Auxiliary Classifier
    Wei Liu, Jie You, Joonwhoan Lee · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  48. Semi-supervised generative and discriminative adversarial learning for motor imagery-based brain–computer interface
    Wonjun Ko, Eunjin Jeon, Jee Seok Yoon, Heung‐Il Suk · 2022 · Scientific Reports
  49. Synthetic‐to‐real domain adaptation with deep learning for fitting the intravoxel incoherent motion model of diffusion‐weighted imaging
    Haoyuan Huang, Baoer Liu, Yikai Xu, Wu Zhou · 2022 · Medical Physics
  50. Multi-stages de-smoking model based on CycleGAN for surgical de-smoking
    Xinpei Su, Qiuxia Wu · 2023 · International Journal of Machine Learning and Cybernetics
  51. Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
    Shiman Li, Haoran Wang, Yucong Meng, Chenxi Zhang, Zhijian Song · 2024 · Physics in Medicine and Biology
  52. Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
    Masashi Hatano, Ryo Hachiuma, Ryo Fujii, Hideo Saitô · 2024 · Lecture notes in computer science
  53. EEG Data Augmentation Method for Identity Recognition Based on Spatial–Temporal Generating Adversarial Network
    Yudie Hu, Lei Sun, Xiuqing Mao, Shuai Zhang · 2024 · Electronics
  54. GPLAC: Generalizing Vision-Based Robotic Skills Using Weakly Labeled Images
    Avi Singh, Larry Yang, Sergey Levine · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  55. A Multi-Domain and Multi-Modal Representation Disentangler for Cross-Domain Image Manipulation and Classification
    Fu-En Yang, Jing-Cheng Chang, Chung-Chi Tsai, Yu-Chiang Frank Wang · 2019 · IEEE Transactions on Image Processing
  56. A Gamified Simulator and Physical Platform for Self-Driving Algorithm Training and Validation
    Γεώργιος Παππάς, Joshua Eric Siegel, Konstantinos Politopoulos, Yongbin Sun · 2021 · Electronics
  57. End-to-End Probabilistic Depth Perception and 3D Obstacle Avoidance using POMDP
    Shakeeb Ahmad, Zachary N. Sunberg, James Sean Humbert · 2021 · Journal of Intelligent & Robotic Systems
  58. What data do we need for training an AV motion planner?
    Long Chen, Lukas Platinsky, Stefanie Speichert, Błażej Osiński, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondrúška · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  59. MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI))
    Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Jacob Lester Jaremko, Janet Lenore Ronsky · 2021 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  60. Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection
    Jianwei Xu, Qingwei Zhang, Yizhou Yu, Ran Zhao, Xianzhang Bian, Xiaoqing Liu, Jun Wang, Zhi‐Zheng Ge, Dahong Qian · 2021 · Computer Methods and Programs in Biomedicine
  61. Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation
    Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Chuan Tian, Chia‐Wen Lin, Rongrong Ji · 2021 · IEEE Transactions on Image Processing
  62. ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation
    Chang’an Yi, Haotian Chen, Yonghui Xu, Yong Liu, Lei Jiang, Haishu Tan · 2022 · Knowledge-Based Systems
  63. Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
    Qingchao Chen, Yang Liu, Zhaowen Wang, Ian James Wassell, Kevin Chetty · 2020 · Springer eBooks
  64. CLDA: an adversarial unsupervised domain adaptation method with classifier-level adaptation
    Zhihai He, Bo Yang, Chaoxian Chen, Qilin Mu, Zesong Li · 2020 · Multimedia Tools and Applications
  65. Distributed Learning and Inference With Compressed Images
    Sudeep Katakol, Basem G. El-Barashy, Luis Herranz, Joost van de Weijer, Antonio Manuel López · 2021 · IEEE Transactions on Image Processing
  66. Zero-shot Domain Adaptation without Domain Semantic Descriptors
    Atsutoshi Kumagai, Tomoharu Iwata · 2018 · arXiv (Cornell University)
  67. PixelVAE++: Improved PixelVAE with Discrete Prior
    Sadeghi, Hossein, Evgeny Andriyash, Walter Vinci, Lorenzo Buffoni, M. H. S. Amin · 2019 · arXiv (Cornell University)
  68. Unsupervised Domain Adaptation in the Absence of Source Data
    Roshni Sahoo, Divya Shanmugam, John V. Guttag · 2020 · arXiv (Cornell University)
  69. Variational Disentanglement for Domain Generalization
    Yufei Wang, Haoliang Li, Cheng, Hao, Wen, Bihan, Chau, Lap-Pui, Kot, Alex C. · 2021 · arXiv (Cornell University)
  70. C2DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation
    Han Sun, Xinyi Chen, Ling Wang, Dong Liang, Ningzhong Liu, Huiyu Zhou · 2020 · Sensors
  71. Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels
    Tarun Kalluri, Manmohan Krishna Chandraker · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  72. A multi-grained unsupervised domain adaptation approach for semantic segmentation
    Luyang Li, Tai Ma, Yue Lu, Qingli Li, Lianghua He, Ying Wen · 2023 · Pattern Recognition
  73. Toward generalizable robot vision guidance in real-world operational manufacturing factories: A Semi-Supervised Knowledge Distillation approach
    Zizhou Zhao, Junyu Lyu, Yinghao Chu, Ke Liu, Daofan Cao, Changning Wu, Longjun Qin, Shiwei Qin · 2023 · Robotics and Computer-Integrated Manufacturing
  74. Domain Adaptive Remote Sensing Scene Classification With Middle-Layer Feature Extraction and Nuclear Norm Maximization
    Ruitong Du, Guoqing Wang, Ning Zhang, Liang Chen, Wenchao Liu · 2023 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  75. Learning robust features alignment for cross-domain medical image analysis
    Zheng Zhen, Rui Li, Cheng Liu · 2023 · Complex & Intelligent Systems
  76. High-risk event prone driver identification considering driving behavior temporal covariate shift
    Ruici Zhang, Xiang Wen, Huanqiang Cao, Pengfei Cui, Hua Chai, Runbo Hu, Rongjie Yu · 2024 · Accident Analysis & Prevention
  77. Unsupervised Adaptation Learning for Real Multiplatform Hyperspectral Image Denoising
    Zhaozhi Luo, Xinyu Wang, Petri Pellikka, Janne Heiskanen, Yanfei Zhong · 2024 · IEEE Transactions on Cybernetics
  78. Generative Adversarial Domain Adaptation for Nucleus Quantification in Images of Tissue Immunohistochemically Stained for Ki-67
    Xuhong Zhang, Toby C. Cornish, Lin Yang, Tellen D. Bennett, Debashis Ghosh, Fuyong Xing · 2020 · JCO Clinical Cancer Informatics
  79. Learning a Weighted Classifier for Conditional Domain Adaptation
    Fuming You, Hongzu Su, Jingjing Li, Lei Zhu, Ke Lü, Yang Yang · 2021 · Knowledge-Based Systems
  80. Noise Resistible Network for Unsupervised Domain Adaptation on Person Re-Identification
    Suian Zhang, Ying Zeng, Haifeng Hu, Shuyu Liu · 2021 · IEEE Access
  81. A survey of deep domain adaptation based on label set classification
    Min Fan, Ziyun Cai, Tengfei Zhang, Baoyun Wang · 2022 · Multimedia Tools and Applications
  82. Face Destylization
    Fatemeh Shiri, Xin Yu, Piotr Koniusz, Fatih Porikli · 2017 · International Conference on Digital Image Computing: Techniques and Applications (DICTA)
  83. Sparse-Based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction
    Huaying Hao, Cong Xu, Dan Zhang, Qifeng Yan, Jiong Zhang, Yue Liu, Yitian Zhao · 2022 · IEEE Journal of Biomedical and Health Informatics
  84. Uncertainty-guided joint unbalanced optimal transport for unsupervised domain adaptation
    Jun Dan, Tao Jin, Hao Chi, Shunjie Dong, Yixuan Shen · 2022 · Neural Computing and Applications
  85. Unsupervised Multimodal Image-to-Image Translation: Generate What You Want
    Chao Zhang, Xi Wei, Xinhui Liu, Gairui Bai, Jingtong Sun, Fan Yu · 2022 · International Joint Conference on Neural Networks (IJCNN)
  86. Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks
    Feiwu Yu, Xinxiao Wu, Yuchao Sun, Lixin Duan · 2018 · International Joint Conference on Artificial Intelligence
  87. Deep domain adaptation with manifold aligned label transfer
    Breton Minnehan, Andreas E. Savakis · 2019 · Machine Vision and Applications
  88. Domain adaptation with SBADA-GAN and Mean Teacher
    Chengjian Feng, Zhaoshui He, Jiawei Wang, Qinzhuang Lin, Zhouping Zhu, Jun Lu, Shengli Xie · 2019 · Neurocomputing
  89. Deep multi-Wasserstein unsupervised domain adaptation
    Tien-Nam Le, Amaury Habrard, Marc Sebban · 2019 · Pattern Recognition Letters
  90. Informative Multimodal Unsupervised Image-to-Image Translation
    Tien Tai Doan, Guillaume Ghyselinck, Blaise Hanczar · 2021
  91. Unsupervised Text Style Transfer via Iterative Matching and Translation.
    Zhijing Jin, Di Jin, Jonas Weylin Mueller, Nicholas E. Matthews, Enrico Santus · 2019 · arXiv (Cornell University)
  92. Generative artificial intelligence in manufacturing: applications, case studies, and future directions for next-generation intelligent production systems
    Mohammad Shahin, Aliakbar Hosseinzadeh, F. F. Chen · 2025 · The International Journal of Advanced Manufacturing Technology
  93. Revealing Hidden Potentials of the q-Space Signal in Breast Cancer
    Paul F. Jäger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme et al. · 2017 · Lecture notes in computer science
  94. Adaptative Balanced Distribution for Domain Adaptation With Strong Alignment
    Zhengshan Wang, Xiangjun Wang, Feng Liu, Peipei Gao, Yubo Ni · 2021 · IEEE Access
  95. Benchmarking Domain Adaptation Methods on Aerial Datasets
    Navya Nagananda, Abu Md Niamul Taufique, Raaga Madappa, Chowdhury Sadman Jahan, Breton Minnehan, Todd V. Rovito, Andreas E. Savakis · 2021 · Sensors
  96. Weakly Supervised Pedestrian Segmentation for Person Re-Identification
    Ziqi Jin, Jinheng Xie, Bizhu Wu, Linlin Shen · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
  97. O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation
    Ziyue Karen Jiang, Yuting He, Shuai Ye, Pengfei Shao, Xiaomei Zhu, Yi Xu, Yang Chen, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang · 2023 · Knowledge-Based Systems
  98. An Auxiliary Synthesis Framework for Enhancing EEG-Based Classification With Limited Data
    Sui Liang, Shaolong Kuang, Deheng Wang, Zhaohua Yuan, Hongmiao Zhang, Lining Sun · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  99. Cross-Modality Medical Image Segmentation via Enhanced Feature Alignment and Cross Pseudo Supervision Learning
    Mingjing Yang, Zhicheng Wu, Hanyu Zheng, Liqin Huang, Wangbin Ding, Lin Pan, Lei Yin · 2024 · Diagnostics
  100. Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
    Fei Ye, Adrian G. Borş · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings