A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Song, Yisheng, Wang, Ting, Cai, Puyu, Mondal, Subrota K., Sahoo, Jyoti Prakash·2023·ACM Computing Surveys

Cited by (722)

Items 501–600 of 722

  1. Applied and Future Visual Computing Topics
    Scott Krig · 2025 · Springer eBooks
  2. Named Entity Recognition in Mechanical Fault Diagnosis: A Template-Free Prompt Learning Approach
    Fenfang Li, Ping Luo, Junjun Luo, Guoyu Qin, Haijun Ma · 2025 · Processes
  3. Trends, Challenges and New Frontiers of Artificial Intelligence
    Parimal Pal Chaudhuri, Adip Dutta, Somshubhro Pal Choudhury, Dipanwita Roy Chowdhury, Raju Hazari · 2025 · Springer eBooks
  4. Making language models better human-like learners
    Chengwei Qin · 2025
  5. Diffusion Model-based Inpainting for Low-Cost, High-Resolution Defect Image Generation
    Tae-Hyong Kim, Sang-Min Lee · 2025 · The Journal of Korean Institute of Information Technology
  6. Lightweight Multi-Modal Few-Shot RF Fingerprint Recognition for Drones
    Xianghao Wang · 2025 · International Symposium on Computer Applications and Information Systems (ISCAIS)
  7. WITHDRAWN: A few-shot classification framework based on multimodal representation fusion of hybrid pre-trained models
    Wenjin Liu, Jingyu Zou, Shudong Zhang, Lijuan Marissa Zhou, Haoming Liu · 2025 · Information Fusion · Retracted
  8. Explainable Event Extraction in Knowledge-Based Maintenance
    Lukas Künig, Linus Kohl, Sareh Aghaei, Fazel Ansari · 2025 · Procedia CIRP
  9. Data Heterogeneity
    Dong Wang, Lanyu Shang, Yang Zhang · 2025 · Springer eBooks
  10. Frugal AI: The New Era of Sustainable Deep Learning
    Yassamine Lala Bouali, Olfa Ben Ahmed, Abbas Bradai, Smaine Mazouzi · 2025 · SSRN Electronic Journal
  11. FAMiT: Mitigating False Alarms for Program Analysis Using Large Language Models
    Jiabao Zeng, Yuanlin Li, Ran Zhang, Yuanmin Xie, Kejia Li, Min Qi Zhou · 2025 · Lecture notes in computer science
  12. Adaptive Multi-scale Feature Fusion Network for Few-Shot Learning
    Kai He, Erwin M. Bakker, Michael S. Lew · 2025 · Communications in computer and information science
  13. Determining an Optimal Small Subset of Training Data for Deep Learning Models in Computer Vision
    Mandeep Kaur, Shubhangi Gautam, Gourav Gourav, Rameswara Reddy Yeddula, Preeti Dahiya · 2025 · OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON)
  14. Controlling Structural Potentiality for Prototype Networks in Multi-Layered Neural Networks
    Ryotaro Kamimura · 2024 · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)
  15. Optimizing Hyperparameters in Meta-Learning for Enhanced Image Classification
    Amala Mary Vincent, P. Jidesh, A. A. Bini · 2025 · IEEE Access
  16. Real-Time Multi-Zone Sensor Anomaly Detection Using Few-Shot Machine Learning
    Atulya Thakur · 2025
  17. Advancing Skin Type Classification: The Development of Malaysian Facial Skin Texture Datasets for Machine Learning
    Quan Fong Yeo, Ooi Shih Yin, Ying Han Pang · 2025 · IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)
  18. Knowledge Extraction for Commercial Aircraft Process Specification Based on LLM Generation Rules
    Wenhao Xu, You Song, Ruiqiang Lyu, Bencheng Cui, Qiao Zheng, Baoguo Chen · 2025 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  19. Iterative Context Prototype Learning with Graph Dependency for Few-Shot Emotion Recognition in Conversations
    Mengdi Wang, Xu Chu, Zongtang Hu, Jie Wang, Yingying Shan, Qijin Ji · 2025 · Communications in computer and information science
  20. Physiological and Behavioral Sensing
    Rong Zheng, Chao Cai · 2025 · Wireless networks
  21. Object Detection in Foggy Conditions using Deep Neural Networks
    T. Dhiliphan Rajkumar, D. Balakrishnan, M. Pavan Kumar, M. Siva Sankar Rama Reddy, Praveen Kumar, P. Harshith · 2025 · Global Conference in Emerging Technology (GINOTECH)
  22. Multibinary Similarity Filtering-Enabled Multisource Domain Open-Set Fault Diagnosis for Rotating Machinery Under Cross Conditions
    Guotao Yang, Shaolin Hu, Longtao Wang · 2025 · IEEE Transactions on Instrumentation and Measurement
  23. Ratio Potentiality for Prototype Identification and Interpretation in Multi-Layered Neural Networks
    Ryotaro Kamimura · 2025 · Procedia Computer Science
  24. Investor sentiment from images: a few-shot learning investigation
    Xiaohang Ren, Wenting Jiang, Xianming Sun, Shixuan Wang · 2025 · Journal of Accounting Literature
  25. Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural Fields
    Jiayi Su, Lifeng Xing, Tao Li, Nan Xiang, Jiacheng Shi, Dequan Jin · 2025 · Brain Sciences
  26. Prediction of Switching Impulse Voltage of Rod-Plane Gaps Based on Few-Shot Regression
    Jiahao Li, Xiuyuan Yao, Yu Su, Xilin Zhao, Jinghao Chen · 2025 · IEEE International Electrical and Energy Conference (CIEEC)
  27. MSAG: Semantic Enhancement and Image Generation Based on Multimodal Large Models for Supporting Few‐Shot Learning
    Jia Zhao, Ziyang Cao, Huiling Wang, Xu Wang, Yingzhou Chen · 2025 · IET Image Processing
  28. Transferring Linguistic Knowledge Representation to Automatically Adapt Easy-to-Read Text Guidelines from Spanish to German
    Isam Diab, Klaus Miesenberger, Mari Carmen Suárez-Figueroa · 2025 · Springer eBooks
  29. Leveraging CVAE Encoding for Backdoor Attacks in Few-Shot Learning With Prototypical Networks
    Sana Sana, Qiao Yan, Sizhe Liang, Aman Ullah · 2025 · IEEE Transactions on Dependable and Secure Computing
  30. FCA-HLP: Multilayer Feature Cross-Activation Network With High- and Low-Level Prototypes for Few-Shot Segmentation
    Jiaguang Li, Ying Wei, Zihan Gao, Yubo Wang · 2025 · IEEE Transactions on Artificial Intelligence
  31. A Conceptual Approach to Explainable Object and Action Classification
    Stephanie E. Stacy, Alfredo Gabaldon, Guy Ben-Yosef, Idan Tankel, Marc T. Tomlinson, Sharon Gower Small, Ting Liu, Peter Tu · 2025 · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
  32. ACFFSL:a federated few-shot learning framework with contrastive learning and lightweight multi-scale attention
    Chao Xu, Jiafu Cheng, Yong Chen, Jiajia Huang, Defeng Hu · 2025 · Cluster Computing
  33. Real-Time and Personalized Product Recommendations for Large E-Commerce Platforms
    Matteo Tolloso, Davide Bacciu, Shahab Mokarizadeh, Marco Varesi · 2025 · Lecture notes in computer science
  34. Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection
    Jie Yan, Xiaoyuan Guan, Wei‐Shi Zheng, Hao Chen, Ruixuan Wang · 2025 · Lecture notes in computer science
  35. An Intelligent Method for Assembly Action Recognition Under Data Scarcity
    Yan Zhang, Xinlong Qi, Xinyuan Jiang, Hongyong Fu · 2025 · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems
  36. A dynamic embedding strategy using gated ensembles for few-shot attack detection
    Y. Annie Jerusha, Syed Ibrahim, Vijay Varadharajan · 2026 · Results in Engineering
  37. A Comprehensive Survey on Metric-Based Few Short Learning Techniques
    Rakshita Belakoppa, Drakshayani Chalageri, Pooja Karagi, Nikhita Mane, Diya Patilkulkarni, Shashank Sathyanarayana Hegde · 2025 · Lecture notes in networks and systems
  38. Rapid Prediction of Surface Parameters on Bodies in External Flow Using Physics-Embedded Neural Networks
    Guang Chen, Weidong Chen, Linlin Ji, Tiansen Gao, Jie Ji, Shengzhuo Lu · 2025 · Research Square
  39. Research of Generative Machine Learning Methods to Improve Predictive Models Efficiency on Small Data
    Ivan Khokhlov, Irina Pavlovna Bolodurina, Svetlana Kolesnik · 2025 · International Russian Automation Conference (RusAutoCon)
  40. Few-shot learning for rare skin disease classification via adaptive distribution calibration
    Yin Wen, Yingbo Wu, Zhigao Zeng, Shengqiu Yi, Xinpan Yuan, Yanhui Zhu · 2025 · Mathematical Biosciences & Engineering
  41. Few-Shot Defect Recognition for New Energy Equipment via Multimodal Harmony
    Zhenwei Wang, Pengfei Wang, Mohammad S. Obaidat, Zhonghao Zhang, Tianbao Yang, Jintao Zheng, Jianxin Zhang, Qiang Zhang · 2025 · IEEE Internet of Things Journal
  42. Efficient and Secure GANs: A Survey on Privacy-Preserving and Resource-Aware Models
    Niovi Efthymia Apostolou, Elpida Vasiliki Balourdou, Maria Mouratidou, Eleni Tsalera, Ioannis Voyiatzis, Andreas E. Papadakis, Μαρία Σαμαράκου · 2025 · Applied Sciences
  43. SpellForger: Prompting Custom Spell Properties In-Game using BERT supervised-trained model
    Emanuel C. Silva, Emily S. M. Salum, Gabriel Arantes, Matheus P. Pereira, Vinicius F. Oliveira, Alessandro de Lima Bicho · 2025 · Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames)
  44. Enhanced Zero-Shot Classification of Plunger Lift Operating Conditions via a Modified CLIP Architecture and Selective Data Sampling
    Jianjun Zhu, Yujun Liu, Mai Chen, Haoyu Wang, Yan Li, Haiwen Zhu · 2025 · SSRN Electronic Journal
  45. Meta-Learning Enhanced 3D CNN-LSTM Framework for Predicting Durability of Mechanical Metal–Concrete Interfaces in Building Composite Materials with Limited Historical Data
    Fangyuan Cui, Lie Liang, Xiaolong Chen · 2025 · Buildings
  46. Local Descriptors Aided Few-Shot Learning for Wireless Spectrum Status Recognition
    Zixin Wang, Bianzheng Wang, Xin Wang, Yue Li, Bin Shen · 2025 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  47. Re_MGFE: A Multi-Scale Global Feature Embedding Spectrum Sensing Method Based on Relation Network
    Jiayi Wang, Fan Zhou, Jinyang Ren, Lizhuang Tan, Jian Wang, Peiying Zhang, Shaolin Liao · 2025 · Computers
  48. Extreme Multi-Label Completion for Semantic Document Tagging with Taxonomy-Aware Parallel Learning
    Julien Audiffren, Christophe Broillet, Ljiljana Dolamic, Philippe Cudré-Mauroux · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
  49. Bias Assessment of Large Language Models in Gene Editing Technology through Information Extraction
    梅 陈 · 2025 · Artificial Intelligence and Robotics Research
  50. Bamboo: A Novel Session-Aware Framework With Equiangular Tight Frame Prototypes for Few-Shot Class-Incremental Learning
    Xuehan Lu, Zhe Wang, Zhiling Fu, Xinlei Xu, Qian Zhang, Ting Xiao, Wenli Du · 2025 · IEEE Transactions on Neural Networks and Learning Systems
  51. A Comparative Study on Few-Shot Learning for Retinal Disease Classification
    Victor Nascimento Ribeiro, Fernando G. Lima, Rodrigo de C. Michelassi, Carlos A. Rabelo, Nina S. T. Hirata · 2025 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
  52. Advancing Fine-Grained Few-Shot Learning via Human-Centric Visual Cognition
    Chaofei Qi, Zhitai Liu, Chao Ye, Weiyang Lin, Jianbin Qiu · 2025 · International Joint Conference on Neural Networks (IJCNN)
  53. SynNER: Synergizing Large and Small Language Models for Few-Shot Nested NER
    Hong Ming, Jiaoyun Yang, Shuo Liu, Lili Jiang, Ning An · 2025 · International Joint Conference on Neural Networks (IJCNN)
  54. Mechanical fault identification in GIS disconnectors with limited VFTO samples
    Yongzheng Zhu, Houda Zhu, Chuanji Zhang, Hongbin Li, Ze Wang · 2025 · Electric Power Systems Research
  55. Detection of leptomeningeal angiomas in brain MRI of Sturge-Weber syndrome using multi-scale multi-scan Mamba
    Weiqun Bao, Chenghao Xue, Ruisheng Su, Xindan Hu, Yuanning Li, Xiaoqiang Wang, Tao Tan, Dake He, Lin Xu · 2025 · Frontiers in Neuroscience
  56. Meta-transfer learning for few-shot learning: An overview
    Harish Yadav, Karan Verma, Vinay Kumar Vats, Rishav Singh · 2025 · AIP conference proceedings
  57. Research on the recognition of cultural symbols in traditional residential building facades and their digital protection based on the LoRA-DenseNet model
    Jingyong Huang, Wenyi Sun, Yihan Wang, Yangyang Wei · 2025 · Journal of Asian Architecture and Building Engineering
  58. Redundancy reduction with gradient-weighted pruning for cross-domain few-shot learning
    Jinfang Jia, Suhang Wei, Xiang Feng, Huiqun Yu · 2025 · CCF Transactions on High Performance Computing
  59. Intelligent Fault Diagnosis of Rod Pumping Systems Using Knowledge-Enhanced Contrastive BTCN
    Shichao Li, Peng Zeng, Dongliang Zheng, Chao Deng, L.-L. Zhang, Haibo Cheng · 2025 · IEEE Transactions on Instrumentation and Measurement
  60. Refining Transcripts with TV Subtitles by Prompt-Based Weakly Supervised Training of ASR
    Xinnian Zhao, Hugo Van hamme · 2025 · European Signal Processing Conference (EUSIPCO)
  61. Advanced Earth observation techniques for damage estimation
    Guofeng Cao, Di Wu · 2025 · Elsevier eBooks
  62. Research on Few-Shot Learning Method Based on High-Confidence Data Augmentation
    Chao Yang, Jun Li, Ran Liao, Xin Huang, Lanlan Jiang · 2025 · International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)
  63. Research on Few-Shot Remote Sensing Scene Classification Based on Residual Network and Transformer
    Zhongjie Li, Shoujun Yan, Lijie Zhou, Lifeng Song, Xinyu Zhao, Nan Du · 2025 · Youth Academic Annual Conference of Chinese Association of Automation (YAC)
  64. Robust Cross-Domain RF-Based Multimodal Activity Recognition With Few-Shot Adaptation
    Jie Zhang, Zuan Qin, Bingxun Mu, Lang He, Zhongmin Wang, Jing Chen · 2025 · IEEE Internet of Things Journal
  65. Limited corporate influence on social media news: Evidence from topic-level agenda building and newsworthiness
    Xiaoyue Yan, Anne C. Kroon · 2025 · Public Relations Review
  66. Fuzzy Attention Module for CNNs in the Application of Space Analysis
    Antoni Jaszcz, Adam� Zielonka, Michał Wieczorek, Dawid Połap · 2025 · Lecture notes in computer science
  67. SynNER: Synergizing Large and Small Language Models for Few-Shot Nested NER
    Hong Ming, Jiaoyun Yang, Shuo Liu, Lili Jiang, Ning An · 2025 · International Joint Conference on Neural Networks (IJCNN)
  68. View-Robust Backbone and Discriminative Reconstruction for Few-Shot Fine-Grained Image Classification
    Jiawen Jiang, Jiahang Li, Jin Lu · 2025 · International Joint Conference on Neural Networks (IJCNN)
  69. Comparative Analysis of Core Methods in the Few-Shot Learning Area
    Zuoyou Dang · 2025 · ITM Web of Conferences
  70. Leveraging Heuristic-Driven Explanations and Sentence Transformers for Interpretable Depression Detection
    Arvind Kumar, Manyu Kumar, Abhay Raj, Agnik Banerjee, Gopal Giri · 2026 · Lecture notes in networks and systems
  71. An output perturbation method based on few-shot learning with data augmentation for lung cancer classification
    Xiangfei Zhang, Qingchen Zhang · 2026 · Engineering Applications of Artificial Intelligence
  72. Dual-Domain Adaptation Networks for Realistic Image Super-Resolution
    Chaowei Fang, Bolin Fu, De Cheng, Lechao Cheng, Guanbin Li · 2026 · IEEE Transactions on Multimedia
  73. ALIBIS: Assessing and mitigating the risk of sensitive metadata Leakage In moBile Image Sharing
    Lam Nguyen Tran Thanh, Barbara Carminati, E FERRARI · 2026 · Pervasive and Mobile Computing
  74. Attention-Enhanced Few-Shot Prototypical Network for Indian Sign Language Recognition
    Shafaque Aziz, Mohammad Amjad · 2025 · International Conference on Computing, Communication and Automation
  75. Integrating Few-Shot and Transfer Learning: The Role of Transfer Identifiers in Closed-System AIOps
    Yong Zhang, Yuetong Ge, Huifeng Li, Zhenpeng Zhang, Lei Cheng, Yun Huang · 2025 · International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE)
  76. Adaptive Multi-Scale Feature Learning for Few-Shot Plant Disease Classification
    Xin Wang, Jinxia Shang · 2025 · International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
  77. Leveraging Fast Adaptation for Cross-Domain Generalization in Few-Shot Industrial Defect Detection
    Ziyi Huang, Xinyu Ouyang, Feifan Yi, Weipeng Cao, Haigang Zhang, Wenli Shu · 2025 · International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)
  78. Few-Shot Fine-Grained Image Classification via Vision Transformer
    Yongqi Liu, Tong Xiao, Zeao Chen, Chen Zhou, Zhijie Wang · 2025 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  79. A Multi-Agent Fuzzing Framework for Deep Learning Library
    Rongtao Liao, ShiWen Ou, Xuehu Yan, Kai-Long Zhu · 2025 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  80. Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
    Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu · 2026 · Advanced Science
  81. CMDFE: A Robust Few-Shot Learning Framework with Tiny Object Feature Extraction for Environmental Microorganism Image Classification
    Xiangwen Kong, Tao Jiang, Hao Xu, Li Yuan, Marcin Grzegorzek, Rui Li, Chen Li · 2025 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  82. Fetan: Enhancing Few-Shot Classification on Text-Attributed Graphs with In-Context Learning of LLMs
    Yun Zhang, Minghe Yu, Jintong Sun, Tiancheng Zhang, Ge Yu · 2026 · Lecture notes in computer science
  83. Small-Sample Cervical Cancer Nest Classification Via Explainable Dense Feature Extraction in Euclidean Space
    Yuzhou Wang, Yujie Zhang, Marcin Grzegorzek, Xiaoyan Li, Chen Li · 2025 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  84. FedPKT: Robust Cross-Domain Few-Shot Intrusion Detection via Prototypical Knowledge Transfer
    Kai Yin, Jianfei Zhang, Zhihua Xia, Chenxi Yu · 2025 · International Conference on Computer, Internet of Things and Control Engineering (CITCE)
  85. Risk-aware diffusion model for generating extreme weather scenarios and safety evaluation in autonomous driving
    Zimei Tu, Zhijun Wu, Daoxin Li, Jinyao Shi, Zhiwei Shen, Xiaolin Cao, Qin Qin · 2026 · PeerJ Computer Science
  86. BAED: A new paradigm for few-shot graph learning with explanation in the loop
    Chao Chen, Xujia Li, Dongsheng Hong, Shanshan Lin, Xiangwen Liao, Chuanyi Liu, Lei Chen · 2026 · Neural Networks
  87. TripletMAML: A metric-based model-agnostic meta-learning algorithm for few-shot classification
    Ayla Gülcü, Zeki Kuş, İsmail Taha Samed Özkan, Osman Furkan Karakuş · 2026 · Progress in Artificial Intelligence
  88. Enhancing the Extraction of GHG Emission-Reduction Targets from Sustainability Reports Using Vision Language Models
    Lars Wilhelmi, Christian Bruns, Matthias Schümann · 2026 · Machine Learning and Knowledge Extraction
  89. SCAFFNet: A novel object classification algorithm in low-altitude scenarios for eVTOL
    Di Zhang, Feng Pan, Qi Diao, Jiacheng Wang, Weixing Li · 2026 · Chinese Journal of Mechanical Engineering
  90. ProtoMark: A transfer prototype network with Markov-enhanced features for few-shot intrusion detection
    Yixin Xu, Jingwen Wang, Yue Chen, Junfeng Wang, He Sun, Zhiyang Fang · 2026 · Applied Soft Computing
  91. Addressing Class Scarcity and Imbalance for Few-Shot Detection of Wind Turbine Blade Surface Defects
    Imad Gohar, Abderrahim Halimi, Weng Kean Yew, John See · 2025 · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
  92. De-Decay: Defusing Computer Vision Model Degradation through Scalable and Actionable Human-Data Alignment
    Tong Sun, Huining Feng, Jinwei Ye, Sangdoo Yun, Young‐Ho Kim, Sungsoo Ray Hong · 2026 · ACM Transactions on Interactive Intelligent Systems
  93. MAPS: A Morphology-Aware PPE Segmentation Framework for Healthcare Settings
    Wanzhao Yang, Syed M. Anwar, Beomseok Park, Sifan Yuan, Aleksandra Sarcevic, Marius G. Linguranr, Randall S. Burd, Ivan Marsic · 2025 · IEEE International Conference on Computer Vision Workshops
  94. Towards Better Few-Shot Learning Embeddings via Full-Pipeline Augmentation
    Zhiyuan Song, Kezhao Liu, Yiming Liu, Yuchen Liu · 2025 · International Conference on Image Processing, Multimedia Technology and Machine Learning (IPMML)
  95. Sculpting Margin Penalty: Intra-Task Adapter Merging and Classifier Calibration for Few-Shot Class-Incremental Learning
    Liang Bai, Hong Song, J. W. Li, Yucong Lin, Jingfan Fan, Tianyu Fu, Danni Ai, Deqiang Xiao, Jian Yang · 2026 · IEEE Transactions on Circuits and Systems for Video Technology
  96. TFSCL: A Novel Time-Frequency Similarity Contrastive Learning Method With Hybrid Augmentation for Robust and Accurate Specific Emitter Identification
    Kaixuan Huang, Yongtao Ma, Jialu Zhu, Yuxiang Han · 2026 · IEEE Transactions on Information Forensics and Security
  97. A Comprehensive Review of the State of the Art in Generative Models for Aerodynamic Configuration Design of Aircraft
    Huan Zhao, Chunyun Li, Xiaomeng Zhang, Youyong Luo, Bowen Shu, Zhiyuan Gong, Yongbo Li · 2026 · Archives of Computational Methods in Engineering
  98. Research on Annotation for Spatial Target Recognition Based on Few-shot Learning
    Di Zheng, Lin Chen, Qiao Sun · 2025 · International Academic Exchange Conference on Science and Technology Innovation (IAECST)
  99. WAP-Net: A Wavelet Attention Prototypical Network for Rolling Bearing Fault Diagnosis Under Few-Shot and Multi-Operating Conditions
    Zhinan Xia, Yanna Zhang, Yuan Li · 2025 · Global Reliability and Prognostics and Health Management Conference (PHM)
  100. Dual-branch feature continual learning for few-shot semantic segmentation
    Fuqiang Chen, Huifang Zhao, Guisheng Tan, Yijin Shi · 2026 · Signal Image and Video Processing