Feature Transfer Learning for Face Recognition With Under-Represented Data

Yin, Xi, Yu, Xiang, Sohn, Kihyuk, Liu, Xiaoming, Chandraker, Manmohan·2019·2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (346)

Items 201–300 of 346

  1. Spherical Feature Transform for Deep Metric Learning
    Yuke Zhu, Yan Bai, Yichen Wei · 2020 · Lecture notes in computer science
  2. Dynamic Auxiliary Soft Labels for decoupled learning
    Yan Wang, Yongshun Zhang, Furao Shen, Jian Zhao · 2022 · Neural Networks
  3. Meta Feature Modulator for Long-tailed Recognition
    Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng · 2020 · arXiv (Cornell University)
  4. A lightweight backdoor defense framework based on image inpainting
    Wei, Yier, Gao, Haichang, Wang, Yufei, Gao, Yipeng, Liu, Huan · 2023 · Neurocomputing
  5. Free-Form Composition Networks for Egocentric Action Recognition
    Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
  6. KMoCoL: k -Positive Momentum Contrastive Learning for Imbalanced Diabetic Retinopathy Grading
    Luhu Li, Xuya Liu, Xinguo Hou, Li Chen, Yuanfeng Zhou, Shujun Fu · 2025 · IEEE Transactions on Instrumentation and Measurement
  7. Expression invariant face recognition based on multi-level feature fusion and transfer learning technique
    P. M. Ashok Kumar, L. Arun Raj, K. Martin Sagayam, N. Gokul Ram · 2022 · Multimedia Tools and Applications
  8. RETRACTED ARTICLE: The Effectiveness of Adaptive Learning Methods in Mathematics Compared to Flipped Learning analyzed by ANN and IoT
    Aisha Ahmed, Abdullahi Abdu İbrahim · 2023 · Wireless Personal Communications · Retracted
  9. ProAug: Prototype-Based Augmentation for Long-Tailed Image Classification
    Yan Hong, Jianfu Zhang, Zhongyi Sun, Ke Yan · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  10. TaE: Task-Aware Expandable Representation for Long Tail Class Incremental Learning
    Linjie Li, Zhenyu Wu, Jiaming Liu, Yang Jian Ji · 2024 · Lecture notes in computer science
  11. SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
    Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni · 2020 · Lecture notes in computer science
  12. Solving The Long-Tailed Problem Via Intra- And Inter-Category Balance
    Renhui Zhang, Tiancheng Lin, Rui Zhang, Yi Xu · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
  13. Coarse-to-fine knowledge transfer based long-tailed classification via bilateral-sampling network
    Junyan Xu, Wei Zhao, Hong Zhao · 2023 · International Journal of Machine Learning and Cybernetics
  14. One-Shot Face Recognition with Feature Rectification via Adversarial Learning
    Jianli Zhou, Jun Chen, Chao Liang, Jin Chen · 2019 · Lecture notes in computer science
  15. Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View
    Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Chuan Tian, Zhang, Min · 2020 · arXiv (Cornell University)
  16. Balanced Domain Randomization for Safe Reinforcement Learning
    Cheongwoong Kang, Wonjoon Chang, Jaesik Choi · 2024 · Applied Sciences
  17. Diffusion-Noise-Based Augmentation for Long-Tailed Remote Sensing Image Classification
    Qianqian Wang, Haibo Ye, Dong Liang, Sheng-Jun Huang · 2025 · IEEE Transactions on Geoscience and Remote Sensing
  18. Dual-Branch EfficientNet Model with Hybrid Triplet Loss for Architectural Era Classification of Traditional Dwellings in Longzhong Region, Gansu Province
    Shangbo Miao, Yalin Miao, Chenxi Zhang, Yushun Piao · 2025 · Buildings
  19. Personalized Federated Learning on long-tailed data via knowledge distillation and generated features
    Fengling Lv, Pinxin Qian, Yang Lu, Hanzi Wang · 2024 · Pattern Recognition Letters
  20. Self-supervised Learning for Medical Image Classification Using Imbalanced Training Data
    Weilin Chen, Kangshun Li · 2022 · Communications in computer and information science
  21. Exploiting the Tail Data for Long-Tailed Face Recognition
    Song Guo, Rujie Liu, Mengjiao Wang, Meng Zhang, Shijie Nie, Septiana Lina, Narishige Abe · 2022 · IEEE Access
  22. VLG: General Video Recognition with Web Textual Knowledge
    Jintao Lin, Zhaoyang Liu, Wenhai Wang, Wayne Wu, Limin Wang · 2024 · International Journal of Computer Vision
  23. CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
    Jiazhi Li, Wael AbdAlmageed · 2023 · Lecture notes in computer science
  24. Intra-Class Cutmix for Unbalanced Data Augmentation
    Caidan Zhao, Lei Yang · 2021 · International Conference on Machine Learning and Computing (ICMLC)
  25. Adversarial Pose Regression Network for Pose-Invariant Face Recognitions
    Pengyu Li, Biao Wang, Lei Zhang A · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  26. Variational Feature Disentangling for Fine-Grained Few-Shot Classification
    Jingyi Xu, Le, Hieu, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras · 2020 · arXiv (Cornell University)
  27. SFBM: Shared Feature Bias Mitigating for Long-Tailed Image Recognition
    Xinqiao Zhao, Mingjie Sun, Eng Gee Lim, Yao Zhao, Jimin Xiao · 2025 · IEEE Transactions on Neural Networks and Learning Systems
  28. Decoupling incremental classifier and representation learning based continual learning machinery fault diagnosis framework under long-tailed distribution
    Changqing Shen, Ying Liu, Bojian Chen, Xuyang Tao, Yifan Huangfu, Dong Wang · 2026 · Chinese Journal of Mechanical Engineering
  29. Dictionary-based transfer learning with Universum data
    Zhiyong Che, Bo Liu, Yanshan Xiao, Luyue Lin · 2022 · Information Sciences
  30. Mixing Global and Local Features for Long-Tailed Expression Recognition
    Jiaxiong Zhou, Jian Li, Yubo Yan, Lei Wu, Hao Xu · 2023 · Information
  31. Weekly Earthquake Prediction Algorithm Based on Dense Net
    Heng Zhang, Zhang Guofu, Zhou Dongrui, Su Zhaopin, Feng Yue · 2023 · International Conference on Computers and Artificial Intelligence Technology (CAIT)
  32. DDFA: a displacement and diffusion-based feature augmentation method for imbalanced image recognition
    Huangyuan Wu, Bin Li, Lianfang Tian, Chao Dong · 2024 · The Visual Computer
  33. Imbalance Robust Softmax for Deep Embeeding Learning
    Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil M. Robertson · 2021 · Lecture notes in computer science
  34. Innovative study on online ideological education in the era of new media, face recognition and blockchain
    Hongrong Gao · 2021 · International Conference on Artificial Intelligence and Smart Energy (ICAIS)
  35. Transfer Learning-Based Artificial Neural Network for Forward Kinematic Estimation of 6-DOF Robot
    P. Kesaba, Bibhuti Bhusan Choudhury · 2022 · International Journal of Applied Metaheuristic Computing
  36. Improving long-tailed classification by disentangled variance transfer
    Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu · 2023 · Internet of Things
  37. Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation
    Chuanghao Ding, Jianrong Zhang, Henghui Ding, Hongwei Zhao, Zhihui Wang, Tengfei Xing, Runbo Hu · 2023 · International Joint Conference on Artificial Intelligence
  38. Distribution Unified and Probability Space Aligned Teacher-Student Learning for Imbalanced Visual Recognition
    Shaoyu Zhang, Chen Chen, Qiong Xie, Haigang Sun, Fei Dong, Silong Peng · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
  39. KDTM: Multi-Stage Knowledge Distillation Transfer Model for Long-Tailed DGA Detection
    Baoyu Fan, Han Ma, Yue Liu, Xiaochen Yuan, Wei Ke · 2024 · Mathematics
  40. Predicting trucking accidents with truck drivers’ safety climate perception: An in-depth evaluation of the pretrain-then-finetune approach
    Kailai Sun, Tianxiang Lan, Say Hong Kam, Yang Miang Goh, Yueng-Hsiang Huang · 2024 · Transportation Research Part F Traffic Psychology and Behaviour
  41. Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
    Ruoxuan Bai, Jingxuan Yang, Weiduo Gong, Yi Zhang, Qiujing Lu, Shuo Feng · 2024 · IEEE International Conference on Automation Science and Engineering (CASE)
  42. [Retracted] A Lightweight Face Verification Based on Adaptive Cascade Network and Triplet Loss Function
    Jianhong Lin, Chaoyang Ye, Weinan Liu, Siqi Ren, Ye Wang, Wenrui Ma, Bin Xu, Yifan Ding · 2022 · Wireless Communications and Mobile Computing · Retracted
  43. Toward Pervasive Computer Vision for Intelligent Transport System
    Giuseppe Riccardo Leone, Andrea Carboni, Simone Nardi, Davide Moroni · 2022 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
  44. A Comparative Analysis of Deep Learning Models for Detection of Knee Osteoarthritis Disease through Mobile Apps
    Muhammad Yusuf Kardawi, Kahlil Muchtar, Yudha Nurdin, Novi Maulina, Sayed Muchallil · 2022 · International Conference on Wireless and Telematics (ICWT)
  45. Variational Transfer Learning for Fine-grained Few-shot Visual Recognition.
    Jingyi Xu, Mingzhen Huang, ShahRukh Athar, Dimitris Samaras · 2020 · arXiv (Cornell University)
  46. Towards Black-box Attacks on Deep Learning Apps
    Hongchen Cao, Shuai Li, Yuming Zhou, Ming Yu Fan, Xuejiao Zhao, Yutian Tang · 2021 · arXiv (Cornell University)
  47. A Study of Imbalanced Medical Image Classification Based on Self-Supervised Learning Incorporating Attention Mechanisms
    Mingchen Xie, Hui Wang, Kangshun Li · 2024 · International Conference on Intelligent Computing and Data Mining (ICDM)
  48. Enhancing Robustness in Long-Tailed Image Classification with Angular Approaches and Balanced Learning
    Din Muhammad, Lei Wang, Markus Hagenbuchner · 2025 · Data Science and Engineering
  49. Generative Active Learning for Long-Tail Trajectory Prediction via Controllable Diffusion Model
    Daehee Park, Monu Surana, Pranav Desai, Ashish Mehta, Reuben MV John, Kuk‐Jin Yoon · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  50. Feature Re-Balancing for Long-Tailed Visual Recognition
    Yan Li Zhao, Weicong Chen, Kai Huang, Jihong Zhu · 2022 · International Joint Conference on Neural Networks (IJCNN)
  51. The Transfer Learning Models for Face Recognition: A Survey
    Zahraa Hashim Abbas, Shaimaa Hameed Shaker · 2022 · International Conference on Advances in Engineering Science and Technology (AEST)
  52. Addressing performance improvement of a neural network model for Reynolds-averaged Navier–Stokes solutions with high wake formation
    Ananthajit Ajaya Kumar, Ashwani Assam · 2024 · Engineering Computations
  53. Corun: Concurrent Inference and Continuous Training at the Edge for Cost-Efficient AI-Based Mobile Image Sensing
    Yu Liu, Anurag Andhare, Kyoung‐Don Kang · 2024 · Sensors
  54. Facial Image Recognition Using Transfer Learning: A Brief Review
    Omar Banimelhem, Baghdad Al‐khateeb · 2024 · International Conference on Information and Communication Systems (ICICS)
  55. Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images
    Yuhao Wang, Lifan Yao, Xinye Zhang, Jiayun Song, Haopeng Zhang · 2024 · International Joint Conference on Neural Networks (IJCNN)
  56. Long-tailed video recognition via majority-guided diffusion model
    Yufan Hu, Yi Zhang, Lixin Zhang · 2025 · Multimedia Systems
  57. Tradeoffs Between Richness and Bias of Augmented Data in Long-Tail Recognition
    Yanbiao Ma, Wei Dai, Jiayi Chen, Xiaohua Chen, Shuo Li · 2025 · Entropy
  58. Feature-Level Camera Style Transfer for Person Re-Identification
    Yang Liu, Hao Sheng, Shuai Wang, Yubin Wu, Zhang Xiong · 2022 · Applied Sciences
  59. Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species
    Tayfun Karaderi, Tilo Burghardt, Raphaël Morard, Daniela N. Schmidt · 2024 · IEEE Winter Conference on Applications of Computer Vision
  60. Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
    Yunus Can Bilge, Mehmet Kerim Yucel, Ramazan Gökberk Cinbiş, Nazlı İkizler-Cinbiş, Pınar Duygulu · 2021 · IEEE Winter Conference on Applications of Computer Vision
  61. Dual Loss for Manga Character Recognition with Imbalanced Training Data
    Yonggang Li, Yafeng Zhou, Yongtao Wang, Xiaoran Qin, Zhi Tang · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  62. Large Scale Face Recognition In the Wild: Technical Challenges and Research Directions
    Abdul Mannan Shahid, Muhammad Moazam Fraz, Muhammad Shahzad · 2021 · International Conference on Digital Futures and Transformative Technologies (ICoDT2)
  63. [Retracted] Relieving the Incompatibility of Network Representation and Classification for Long‐Tailed Data Distribution
    Hao Hu, Mengya Gao, Ming-Sheng Wu · 2021 · Computational Intelligence and Neuroscience · Retracted
  64. Investigate the Essence of Long-Tailed Recognition from a Unified Perspective
    Lei Liu, Li Liu · 2021 · arXiv (Cornell University)
  65. Facial Biometrics-Based Attendance Tracking System
    Devaraj Verma C · 2023 · International Journal for Research in Applied Science and Engineering Technology
  66. Micro-expression Recognition Based on Apex Frame Using Deep Learning
    Xianhua Wang, Xunbing Shen · 2023 · International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
  67. Reducing Bias in Face Recognition
    Sixue Gong, Xiaoming Liu, Anil K. Jain · 2023 · Springer eBooks
  68. Face Recognition using Random Frame Selection
    G K Nirmal, Narukurthi Hrishita, Sreeja Kochuvila, Navin Kumar · 2023 · IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC)
  69. Consensus and Risk Aversion Learning in Ensemble of Multiple Experts for Long-Tailed Classification
    Taegil Ha, Jin Young Choi · 2024 · IEEE Access
  70. Learning Box Regression and Mask Segmentation Under Long-Tailed Distribution with Gradient Transfusing
    Tao Wang, Li Yuan, Xinchao Wang, Jiashi Feng · 2024 · International Journal of Computer Vision
  71. LTB-Solver: Long-tailed Bias Solver for image synthesis of diffusion models
    Siming Fu, Xiaoxuan He, Haoji Roland Hu · 2025 · Neurocomputing
  72. Long-Tailed Recognition via Multi-sampling Classifier Fusion with Frozen CLIP
    Yilou Zhang, Yunjie Liu, Yuan Zhao, Chengkun Wu · 2025 · Lecture notes in computer science
  73. WD2L: A novel approach for overcoming data imbalance in whole-body pose estimation
    Rui Ma, Bin Zhang, Xuegang Dai, Jian Liu · 2025 · Knowledge-Based Systems
  74. Tackling the long-tailed challenge of greenhouse tomato cultivation cycles recognition: a sub-group guided, multi-expert lightweight framework
    Ruochen Zhang, Jingxin Yu, Lin Han, Huankang Cui, Lichun Wang, Fan Xu, Xiaoming Wei · 2025 · Frontiers in Plant Science
  75. Real-Time Deep-Learning-Based Recognition of Helmet-Wearing Personnel on Construction Sites from a Distance
    Fatih Aslan, Yaşar Becerikli · 2025 · Applied Sciences
  76. Reducing Computational Complexity of New Modified Hausdorff Distance Method for Face Recognition Using Local Start Search
    Chau Dang-Nguyen, Tuan Do-Hong · 2021 · International Journal of Electrical and Electronic Engineering & Telecommunications
  77. Improvement of DGA Long Tail Problem Based on Transfer Learning
    Baoyu Fan, Yue Liu, LAURIE G. CUTHBERT · 2022 · Studies in computational intelligence
  78. Bilateral-Branch Network for Imbalanced Visual Regression
    Rongjiao Liang, Guixian Zhang, Kui Zhang, Zhi Lei, Shichao Zhang · 2022 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
  79. WA-ResUNet: A Focused Tail Class MRI Medical Image Segmentation Algorithm
    Haixia Pan, Gao Bo, Wenpei Bai, Bin Li, Yanan Li, Meng Zhang, Hongqiang Wang, Xiaoran Zhao, Minghuang Chen, Cong Yin et al. · 2023 · Bioengineering
  80. Human Face Recognition and Facial Attribute Analysis Using Data Analytics Techniques in Smart Grid Using Image Processing
    Hassanain K. Alrammahi, Ahmed J. Obaid · 2023 · Intelligent systems reference library
  81. Single Sample Face Recognition Based on Identity-Attribute Disentanglement and Adversarial Feature Augmentation
    Liang Zhong Yao, Fan Liu, Zhiquan Ou, Fei Wang, Delong Chen · 2023 · Lecture notes in computer science
  82. Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models
    Din Muhammad Sangrasi, Lei Wang, Markus Hagenbuchner, Peng Wang · 2023 · Communications in computer and information science
  83. Feature Space Manipulation and Fusion for Severe Imbalanced Data
    Tong Zhou, Fengming Liang, Jiachi Liu, Sishi Xiong, Bo Xiao, Chen Qiao, Jun Zhou, Xueqin Xie, Lizhi Jin · 2023 · IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)
  84. Long-Tailed 3D Semantic Segmentation with Adaptive Weight Constraint and Sampling
    Jean Lahoud, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  85. A Robust Multiple Adaptive Derivative Face Recognition System on Pose and Illumination
    Rayner Henry Pailus, Rayner Alfred · 2024 · Lecture notes in electrical engineering
  86. Enhancing Face Recognition Systems by Focusing on Pose Robustness
    Rayner Henry Pailus · 2024 · Studies in systems, decision and control
  87. From Limited Resources to Powerful Insights: Empowering Low-Cost Cameras for Efficient Retrospective Querying
    Qiaodi Wen, Jianer Zhou, Runhao Chen, Ziqi Luo, Gareth Tyson A, Weichao Li, Jinfan Wang, Heng Pan, Zhiwei Xu · 2024 · IEEE Internet of Things Journal
  88. FALCON: Fair Face Recognition via Local Optimal Feature Normalization
    Rouqaiah Al-Refai, Philipp Hempel, Clara Biagi, Philipp Terhörst · 2025 · IEEE Winter Conference on Applications of Computer Vision
  89. Hierarchical style transfer for enhancing feature diversity in long-tailed visual recognition
    Lintao Hu, Zhao-Min Chen, Huiling Chen, Ruoxi Deng, Jie Hu · 2025 · Cluster Computing
  90. SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
    Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni · 2021 · Lecture notes in computer science
  91. Balancing of Samples in Class Hierarchy
    Shuhei Aoki, Mineichi Kudo · 2021 · Lecture notes in computer science
  92. A Long-Tailed Image Classification Method Based on Enhanced Contrastive Visual Language
    Ying Song, Mengxing Li, Bo Wang · 2023 · Sensors
  93. Deep Learning Based Single Sample Per Person Face Recognition: A Survey.
    Delong Chen, Fan Liu, Zewen Li · 2020 · arXiv (Cornell University)
  94. Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
    Sk Miraj Ahmed, Aske R. Lejbølle, Rameswar Panda, Amit K. Roy–Chowdhury · 2020 · arXiv (Cornell University)
  95. AlphaNet: Improving Long-Tail Classification By Combining Classifiers
    Nadine Chang, Jayanth Koushik, Singh, Aarti, Martial Hebert, Yu-Xiong Wang, Tarr, Michael J. · 2020 · arXiv (Cornell University)
  96. Automatic Face Understanding: Recognizing Families in Photos
    Joseph P. Robinson · 2021 · arXiv (Cornell University)
  97. Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
    Hailin Shi, Dan Zeng, Yichun Tai, Hang Du, Yibo Hu, Zhang, Zicheng, Mei, Tao · 2021 · arXiv (Cornell University)
  98. AdaGCN: Adaptive Boosting Algorithm for Graph Convolutional Networks on Imbalanced Node Classification.
    Shuhao Shi, Kai Qiao, Shuai Yang, Linyuan Wang, Jian Chen, Bin Yan · 2021 · arXiv (Cornell University)
  99. Energy Aligning for Biased Models
    Bowen Zhao, Chen Chen, Qi Ju, Shu‐Tao Xia · 2021 · arXiv (Cornell University)
  100. Camera Style Guided Feature Generation for Person Re-identification
    Hantao Hu, Yang Liu, Kai Lv, Yanwei Zheng, Wei Zhang, Wei Ke, Hao Sheng · 2020 · Lecture notes in computer science