Prototype Learning

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Overview

Prototype learning studies how representative examples, feature centers, or structured sets of prototypes can organize data and guide predictions. Common approaches include metric-based few-shot networks, clustering and contrastive learning, memory banks, and hierarchical or probabilistic prototypes; prototypes also help adapt pretrained models across domains and modalities. The methods are used in settings such as image and point-cloud recognition, medical segmentation, anomaly detection, and federated or continual learning, often when labels are scarce or explanations matter. A central challenge is making prototypes diverse, stable, and faithful to model decisions while handling uncertainty, class imbalance, and shifts between training and test data.

Latest papers

CardsList

81 papers7 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. Learning Hierarchical Orthogonal Prototypes for Generalized Few-Shot 3D Point Cloud Segmentation

    Mar 20, 2026Yifei Zhao, Fanyu Zhao, Zhongyuan Zhang +33D Point Cloud Segmentation3D Semantic Segmentation

    College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China

  2. Uncertainty-aware Prototype Learning with Variational Inference for Few-shot Point Cloud Segmentation

    Mar 20, 2026Yifei Zhao, Fanyu Zhao, Yinsheng LiFew-Shot Semantic Segmentation3D Point Cloud Segmentation

    Fudan University, Shanghai, China

  3. Structured prototype regularization for synthetic-to-real driving scene parsing

    Mar 17, 2026Jiahe Fan, Xiao Ma, Sergey Vityazev +3Synthetic-to-Real Domain AdaptationUnsupervised Domain Adaptation

    Tongji University, Shanghai 201804, China · Beijing Institute of Aerospace Control Devices, Beijing 100039, China · Ryazan State Radio Engineering University, Ryazan 390005, Russia +1

  4. Group Resonance Network: Learnable Prototypes and Multi-Subject Resonance for EEG Emotion Recognition

    Mar 11, 2026Renwei MengCross-Subject EEG DecodingElectroencephalography

    Anhui University, Hefei, China

  5. Bi-directional digital twin prototype anchoring with multi-periodicity learning for few-shot fault diagnosis

    Mar 7, 2026Pengcheng Xia, Zhichao Dong, Yixiang Huang +3Fault DiagnosisIndustrial Fault Diagnosis

    State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, PR China

  6. SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation

    Mar 6, 2026Vishal Thengane, Zhaochong An, Tianjin Huang +5Few-Shot Semantic Segmentation3D Semantic Segmentation

    University of Surrey, UK · University of Wollongong, Australia · University of Copenhagen, Denmark +2

  7. P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning

    Mar 6, 2026Lixin Zhan, Jie Jiang, Tianjian Zhou +33D Point Cloud Segmentation3D Semantic Segmentation

    College of Systems Engineering, National University of Defense Technology · Laboratory for Big Data and Decision, National University of Defense Technology

  8. Semantic Class Distribution Learning for Debiasing Semi-Supervised Medical Image Segmentation

    Mar 5, 2026Yingxue Su, Yiheng Zhong, Keying Zhu +7Semi-Supervised Medical Image SegmentationClass-Imbalanced Learning

    Carnegie Mellon University, United States · Yale University, United States · Xi’an Jiaotong-Liverpool University, China +2

  9. SPRINT: Semi-supervised Prototypical Representation for Few-Shot Class-Incremental Tabular Learning

    Mar 4, 2026Umid Suleymanov, Murat Kantarcioglu, Kevin S Chan +6Class-Incremental LearningTabular ML

    Department of Computer Science, Virginia Tech, Blacksburg, VA, USA · Department of Computer Science, University of Texas at Dallas, Dallas, TX, USA · DEVCOM Army Research Laboratory, Adelphi, MD, USA +1

  10. Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labeling

    Mar 4, 2026Anas Belfathi, Nicolas Hernandez, Laura Monceaux +4Prototype LearningLegal NLP

    Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France · University of Lorraine, France

  11. Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients

    Mar 3, 2026Tian-Shuang Wu, Shen-Huan Lyu, Ning Chen +4Federated LearningPrototype Learning

    Key Laboratory of Water Big Data Technology of Ministry of Water Resources, College of Computer Science and Software Engineering, Hohai University, Nanjing, China · Department of Computer Science, City University of Hong Kong, Hong Kong, China · State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China +1

  12. Unsupervised Causal Prototypical Networks for De-biased Interpretable Dermoscopy Diagnosis

    Feb 27, 2026Junhao Jia, Yueyi Wu, Huangwei Chen +4Explainable Medical Image AnalysisSkin Lesion Classification

    Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, College of Computer Science and Technology, Zhejiang University · Hangzhou Dianzi University · Xi’an Jiaotong University

  13. Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning

    Feb 25, 2026Yushen He, Lei Zhao, Weidong Chen3D Object DetectionPseudo-Labeling

    School of Automation and Intelligent Sensing and Institute of Medical Robotics, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China.

  14. RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis

    Feb 20, 2026Chris Tomy, Mo Vali, David Pertzborn +9Image SegmentationMedical Diagnosis

    Department of Computer Science and Technology, University of Cambridge, Cambridge, UK · Department of Physics, University of Cambridge, Cambridge, UK · Department of Otorhinolaryngology, Jena University Hospital, Jena, Germany +2

  15. Spatio-temporal Decoupled Knowledge Compensator for Few-Shot Action Recognition

    Feb 20, 2026Hongyu Qu, Xiangbo Shu, Rui Yan +3Video Action RecognitionFew-Shot Learning

    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. · State Key Lab of Brain-Machine Intelligence, Zhejiang University, China.

  16. Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting

    Jan 23, 2026Haonan Yang, Jianchao Tang, Zhuo LiDisentangled Representation LearningPrototype Learning

    National University of Defense Technology, Changsha, Hunan, China

  17. ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation

    Dec 2, 2025Kerui Chen, Jianrong Zhang, Ming Li +2Prototype LearningHuman Motion Generation

    CCAI, Zhejiang University, China · School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, China · Zhejiang Normal University, China

  18. Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction

    Oct 7, 2025Shuo Jiang, Zhuwen Chen, Liaoman Xu +6Computational PathologyCancer Survival Prediction

    Hangzhou Dianzi University, Hangzhou 310018, China · School of Information and Communication Technology, Griffith University, QLD 4215, Australia · Shenzhen Research Institute of Big Data, Shenzhen 518172, China +3

  19. Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation

    Sep 16, 2025Qianguang Zhao, Dongli Wang, Yan Zhou +23D Point Cloud SegmentationPrototype Learning

    School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China · School of Automation and Electronics Information, Xiangtan University, Xiangtan 411105, China · School of Automation, Shanghai Jiao Tong University, Shanghai 200232, China

  20. Diverse Normal Prototypes-Guided Contrastive Reconstruction for Medical Anomaly Detection

    Aug 27, 2025Luhu Li, Bin Liu, Bowen Lin +3Prototype LearningMedical Image Anomaly Detection

    School of Mathematics, Shandong University, Jinan 250100, China · Department of Interventional Medicine and Minimally Invasive Oncology, The Second Qilu Hospital of Shandong University, Jinan 250033, China · Department of Neurosurgery, The Second Qilu Hospital of Shandong University,2026 Jinan 250033, China

  21. Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling

    Jul 19, 2025Claudio Giusti, Luca Guarnera, Mirko Casu +1Class-Imbalanced LearningSynthetic Data Augmentation

    Department of Mathematics and Computer Science University of Catania Catania, CT 95125