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
DOI 10.1145/3582688
Cited by (722)
Items 101–200 of 722
- A Survey of Large Language Model for Drug Research and DevelopmentHuijie Guo, Xudong Xing, Yongjie Zhou, Wenjiao Jiang, Xiaoyi Chen, Ting Wang, Zixuan Jiang, Yibing Wang, Junyan Hou, Yukun Jiang et al. · 2025 · IEEE Access
- Rapid Adaptation of Chemical Named Entity Recognition Using Few-Shot Learning and LLM DistillationYue Zhang, Dionisios G. Vlachos, Dongxia Liu, Hui Fang · 2025 · Journal of Chemical Information and Modeling
- A Comparative Study of Vision Transformer Encoders and Few-shot Learning for Medical Image ClassificationMaxat Nurgazin, Nguyen Anh Tu · 2023 · IEEE International Conference on Computer Vision Workshops
- Attribute-guided prototype network for few-shot molecular property predictionLinlin Hou, Hongxin Xiang, Xiangxiang Zeng, Dongsheng Cao, Li Zeng, Bosheng Song · 2024 · Briefings in Bioinformatics
- A Comprehensive Review of Few-Shot Action RecognitionYuyang Wanyan, Xiaoshan Yang, Weiming Dong, Changsheng Xu · 2025 · International Journal of Computer Vision
- Integration of artificial intelligence and sustainable energy management in the pulp and paper industry: A path to decarbonizationRaine Viitala, Mikael Miettinen, Ronald Márquez, Aleksanteri Hämäläinen, Aku Karhinen, NELSON A. BARRIOS, Ronalds González, Lokendra Pal, Hasan Jameel, Kenneth Holmberg · 2025 · Renewable and Sustainable Energy Reviews
- AgriFewNet—A Lightweight RGB Few-Shot Learning Model for Efficient Plant Disease ClassificationTina Babu, Rekha R Nair, Balamurugan Balusamy, Wee How Khoh, J. K. M. Nair · 2025 · Applied Sciences
- Strategies in training deep learning models to extract building from multisource images with small training sample sizesDávid Abriha, Szilárd Szabó · 2023 · International Journal of Digital Earth
- SqliGPT: Evaluating and Utilizing Large Language Models for Automated SQL Injection Black-Box DetectionZhiwen Gui, Enze Wang, Binbin Deng, Mingyuan Zhang, Yitao Chen, Shengfei Wei, Wei Xie, Baosheng Wang · 2024 · Applied Sciences
- Deep Semantic Canonical Correlation Embedding for Zero-Shot Industrial Process Fault DiagnosisZongyu Yao, Qingchao Jiang, Weimin Zhong, Xingsheng Gu · 2025 · IEEE Transactions on Systems Man and Cybernetics Systems
- Inverse design of non-parametric acoustic metamaterials via transfer-learned dual variational autoencoder with latent space-based data augmentationKeon Ko, Min Woo Cho, Kyungjun Song, Dong Yong Park, Sang Min Park · 2025 · Engineering Applications of Artificial Intelligence
- LSFSL: Leveraging Shape Information in Few-shot LearningDeepan Chakravarthi Padmanabhan, Shruthi Gowda, Elahe Arani, Bahram Zonooz · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- SLTRN: Sample-level transformer-based relation network for few-shot classificationZhe Sun, Wang Zheng, Mingyang Wang · 2024 · Neural Networks
- GLGAT-CFSL: Global-Local Graph Attention Network-Based Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationChen Ding, Zhicong Deng, Yaoyang Xu, Mengmeng Zheng, Lei Zhang A, Yu Cao, Wei Wei, Yanning Zhang · 2024 · IEEE Transactions on Geoscience and Remote Sensing
- Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS DataFelix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Tobias Feigl, Jonathan Hansen, Alexander Rügamer, Christopher Mutschler · 2024 · International Conference on Localization and GNSS
- ITIMCA: Image-text information and cross-attention for multi-modal cassava leaf disease classification based on a novel multi-modal dataset in natural environmentsHuinian Li, Baoyu Chen, Jingjia Chen, Shuting Li, Feiyong He, Yingbiao Hu · 2024 · Crop Protection
- Predicting the tensile properties of wood plastic composites using material extrusion with meta-based Few-Shot learningZhuo Zeng, Yan Zhou, Shifeng Wen, Cheng Zhou · 2024 · Composites Part A Applied Science and Manufacturing
- A Novel Few-Shot Learning Framework Based on Diffusion Models for High-Accuracy Sunflower Disease Detection and ClassificationHuachen Zhou, Weixia Li, Pei Xian Li, Yifei Xu, Lin Zhang, Xingyu Zhou, Zihan Zhao, Enqi Li, Chunli Lv · 2025 · Plants
- Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect DetectionFederico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso · 2024 · International Workshop on Content-Based Multimedia Indexing (CBMI)
- An Efficient Model for Leafy Vegetable Disease Detection and Segmentation Based on Few-Shot Learning Framework and Prototype Attention MechanismTong Hai, Yuxin Shao, Xiyan Zhang, Guangqi Yuan, Ruihao Jia, Zhitao Fu, Xiaohan Wu, Xinjin Ge, Yihong Song, Min Dong et al. · 2025 · Plants
- Towards Medical Complex Reasoning with LLMs through Medical Verifiable ProblemsChen, Junying, Cai, Zhenyang, Ji, Ke, Wang, Xidong, Liu, Wanlong, Wang, Rongsheng, Wang, Benyou · 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion StrategiesAndrea Loddo, Marco Usai, Cecilia Di Ruberto · 2024 · Journal of Imaging
- Towards Generating Executable Metamorphic Relations Using Large Language ModelsSeung Yeob Shin, Fabrizio Pastore, Domenico Bianculli, Alexandra Băicoianu · 2024 · Communications in computer and information science
- CAMCFormer: Cross-Attention and Multicorrelation Aided Transformer for Few-Shot Object Detection in Optical Remote Sensing ImagesLefan Wang, Shaohui Mei, Yi Wang, Jiawei Lian, Zonghao Han, Yan Feng · 2025 · IEEE Transactions on Geoscience and Remote Sensing
- CIGGAN: A Ground-Penetrating Radar Image Generation Method Based on Feature FusionHaoxiang Tian, Xu Bai, Xuguang Zhu, Pattathal V. Arun, Jingxuan Mi, Dong Zhao · 2025 · IEEE Transactions on Geoscience and Remote Sensing
- FireCLIP: Enhancing Forest Fire Detection with Multimodal Prompt Tuning and Vision-Language UnderstandingSifan Wu, Yuming Qiao, Sen He, Jiahao Zhou, Zhi Wang, Xin Li, Fei Wang · 2025 · Fire
- A meta-transfer-driven method for predicting the remaining useful life of rolling bearing with few shot dataDaoming She, Yangyang Luo, Yitian Wang, Shuyuan Gan, Xiaoan Yan, MICHAEL G. PECHT · 2025 · Measurement
- Automated machine learning for classification and regression: A tutorial for psychologistsChaewon Lee, Kathleen M. Gates · 2025 · Behavior Research Methods
- Advancements in Meta-Learning Paradigms: A Comprehensive Exploration of Techniques for Few-Shot Learning in Computer VisionPriyanka ., Sunil Kumar · 2024 · International Conference on Intelligent Systems for Cybersecurity (ISCS)
- A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of RandomnessBranislav Pecher, Ivan Srba, Mária Bieliková · 2024 · ACM Computing Surveys
- Low-Resource Vision Challenges for Foundation ModelsYunhua Zhang, Hazel Doughty, Cees G. M. Snoek · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Hyperbolic prototype rectification for few-shot 3D point cloud classificationYuan-Zhi Feng, Shing-Ho J. Lin, Xuan Tang, Mu-Yu Wang, Jianzhang Zheng, Zi-Yao He, Zi-Yi Pang, Jian Yang, Mingsong Chen, Xian Wei · 2024 · Pattern Recognition
- Spatial–temporal multi-scale interaction for few-shot video summarizationQun Li, Zhuxi Zhan, Yanchao Li, Bir Bhanu · 2024 · Engineering Applications of Artificial Intelligence
- Deep Learning in Palmprint Recognition-A Comprehensive SurveyChengrui Gao, Ziyuan Yang, Wei Jia, Lu Leng, Bob Zhang, Andrew Beng Jin Teoh · 2025 · Qeios
- Measurement uncertainty evaluation with small samples: A review and prospectHaojie Xia, Yinye Ding, Wenhao Chen, Jin Zhang, Hongli Li, Huining Zhao, Rencheng Song · 2025 · Measurement
- A review and systematic guide to counteracting medical data scarcity for AI applicationsFabian Gröger, Ludovic Amruthalingam, Simone Lionetti, Alexander Andreas Navarini, Fabian Ille, Marc Pouly · 2025 · Computer Methods and Programs in Biomedicine Update
- “She was useful, but a bit too optimistic”: Augmenting Design with Interactive Virtual PersonasPaluck Deep, Monica Bharadhidasan, Ahmet Baki Kocaballi · 2025 · International Journal of Human-Computer Studies
- Language-Aware Soft Prompting: Text-to-Text Optimization for Few- and Zero-Shot Adaptation of V &L ModelsAdrian Bulat, Georgios Tzimiropoulos · 2023 · International Journal of Computer Vision
- Event diagnosis method for a nuclear power plant using meta-learningHee-Jae Lee, Daeil Lee, Jonghyun Kim · 2024 · Nuclear Engineering and Technology
- Few-Shot Website Fingerprinting With Distribution CalibrationChenxiang Luo, Wenyi Tang, Qixu Wang, Danyang Zheng · 2024 · IEEE Transactions on Dependable and Secure Computing
- CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationIngo Ziegler, Abdullatif Köksal, Desmond Elliott, Hinrich Schütze · 2025 · Transactions of the Association for Computational Linguistics
- Evaluating few-shot and contrastive learning methods for code clone detectionMohamad Khajezade, Fatemeh H. Fard, Mohamed Shehata · 2024 · Empirical Software Engineering
- A cognitive few-shot learning for medical diagnosis: A case study on cleft lip and palate and Parkinson’s diseasePei Yin, Junjie Song, Yassine Bouteraa, Leren Qian, Diego R. Martín, Mohammad Khishe · 2024 · Expert Systems with Applications
- Optimizing Breast Cancer Detection: Integrating Few‐Shot and Transfer Learning for Enhanced Accuracy and EfficiencyNadeem Sarwar, Shaha T. Al-Otaibi, Asma Irshad · 2025 · International Journal of Imaging Systems and Technology
- Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural networkXiaocao Ouyang, Yanhua Li, Dongyu Guo, Wei Dong Huang, Xin Yang, Yan Xin Yang, Junbo Zhang, Tianrui Li · 2025 · Information Fusion
- A review of few-shot image classification: Approaches, datasets and research trendsJit Yan Lim, Kian Ming Lim, Chin Poo Lee, Yong Xuan Tan · 2025 · Neurocomputing
- A quasi-experimental analysis of capabilities and limitations of generative AI in academic content evaluation in social sciencesYu Zhu, Yongrong Lu, Huan Xin Xie, Jiyuan Ye, Ming Chen · 2025 · Information Processing & Management
- An Investigation Into the Behavior of Intelligent Fault Diagnostic Models Under Imbalanced DataZhijun Ren, Jinchen Ji, Yongsheng Zhu, Ke Feng · 2023 · IEEE Transactions on Instrumentation and Measurement
- Few-shot image classification based on gradual machine learningNa Chen, Xianming Kuang, Feiyu Liu, Kehao Wang, Lijun Zhang, Qun Chen · 2024 · Expert Systems with Applications
- Generalized zero-shot fault diagnosis based on fault similarity for hydrometallurgical processSiqi Wang, Yan Liu, Fuli Wang, Zhe Ma · 2024 · Control Engineering Practice
- Estimation of Gross Primary Productivity Using Performance-Optimized Machine Learning Methods for the Forest Ecosystems in ChinaQin Na, Quan Lai, Gang Bao, Jingyuan Xue, Xinyi Liu, Rihe Gao · 2025 · Forests
- Hyperbolic Insights With Knowledge Distillation for Cross-Domain Few-Shot LearningXi Yang, Dechen Kong, Nannan Wang, Xinbo Gao · 2025 · IEEE Transactions on Image Processing
- Evolutionary sparse learning reveals the shared genetic basis of convergent traitsJohn B. Allard, Sudip Sharma, Ravi Patel, Maxwell D. Sanderford, Koichiro Tamura, Slobodan Vučetić, Glenn S. Gerhard, Sudhir Kumar · 2025 · Nature Communications
- Knowledge-driven prototype refinement for few-shot fine-grained recognitionJiale Chen, Feng Xu, Xin Lyu, Tao Zeng, Xin Li, Shangjing Chen · 2025 · Knowledge-Based Systems
- The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group RecommendationsCedric Waterschoot, Nava Tintarev, Francesco Barile · 2025 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
- Generative adversarial networks with Gramian angular field for handling imbalanced data in specific emitter identificationYezhuo Zhang, Zinan Zhou, Xuanpeng Li · 2024 · Signal Image and Video Processing
- BiLSTM-TANet: an adaptive diverse scenes model with context embeddings for few-shot learningHe Zhang, Han Liu, Lili Liang, Wenlu Ma, Ding Liu · 2024 · Applied Intelligence
- Heterogeneous Prototype Distillation With Support-Query Correlative Guidance for Few-Shot Remote Sensing Scene ClassificationYin Zhuang, Yuanhao LIU, Tong Zhang, Liang Chen, He Chen, Lianlin Li · 2024 · IEEE Transactions on Geoscience and Remote Sensing
- Decision Boundary Optimization for Few-shot Class-Incremental LearningChenxu Guo, Qi Zhao, Shuchang Lyu, Binghao Liu, Chunlei Wang, Lijiang Chen, Guangliang Cheng · 2023 · IEEE International Conference on Computer Vision Workshops
- Exploring Few-Shot Learning Approaches for Bioinformatics AdvancementsNeha Bhati, Ronak Duggar, Abdullah Alzahrani · 2024 · Advances in bioinformatics and biomedical engineering book series
- Few-Shot Remote Sensing Scene Classification via Subspace Based on Multiscale Feature LearningAnyong Qin, Fuyang Chen, Qiang Li, Tiecheng Song, Yu Zhao, Chenqiang Gao · 2024 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Unsupervised meta-learning for few-shot medical image classification based on metric learningLv Ding, Beiji Zou, Xiaoyan Kui, Yulan Dai, Zeming Chen, Liming Chen · 2025 · Biomedical Signal Processing and Control
- A Multi-Rank Federated Distillation Framework for Data-Imbalance Fault Diagnosis of Multi-Railway High-Speed Train BogiesJiahao Du, Na Qin, Deqing Huang, Xinming Jia, Yiming Zhang · 2025 · IEEE Transactions on Intelligent Transportation Systems
- Few-shot SAR image classification via multiple prototypes ensembleZhiqiang Zhao, Yuhui Tong, Meng Jia, Yuan Qiu, Xiaofan Wang, Xinhong Hei · 2025 · Neurocomputing
- A Novel Clustering-Guided Framework for Rotating Machinery Fault Diagnosis With Extremely Limited Labeled DataTongda Sun, Yining Dong, Wanqian Yang, Gang Yu · 2025 · IEEE Transactions on Industrial Informatics
- Multimodal prototypical networks with Co-metric fusion for few-shot hyperspectral image classificationYuhang Li, Jinrong He, Hanchi Liu, Yurong Zhang, Zhaokui Li · 2025 · Neurocomputing
- Plant and Disease Recognition Based on PMF Pipeline Domain Adaptation Method: Using Bark Images as Meta-DatasetZhelin Cui, Kanglong Li, Chunyan Kang, Yi Wu, Tao Li, Mingyang Li · 2023 · Plants
- APPN: An Attention-based Pseudo-label Propagation Network for few-shot learning with noisy labelsJiaqi Chen, Shizhuo Deng, Da Teng, Dongyue Chen, Tong Jia, Hao Wang · 2024 · Neurocomputing
- An active representation learning method for reaction yield prediction with small-scale dataPeng-Xiang Hua, Zhen Huang, Zheyuan Xu, Qiang Zhao, Chen-Yang Ye, Yi‐Feng Wang, Yun‐He Xu, Yao Fu, Hu Ding · 2025 · Communications Chemistry
- FishMet: A Digital Twin Framework for Appetite, Feeding Decisions and Growth in Salmonid FishSergey V. Budaev, Giovanni Marco Cusimano, Ivar Rønnestad · 2025 · Aquaculture Fish and Fisheries
- Few-shot learning and deep predictive models for cost optimization and carbon emission reduction in energy-water managementWei Zhao, Hao Chen, Devrim Murat Yazan, Hadi Taghavifar, Yucheng Lyu, Aldis Bulis · 2025 · Journal of Environmental Management
- Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation StudyHongbo Chen, Myrtede C. Alfred, Eldan Cohen · 2025 · JMIR Medical Informatics
- A Survey of Multi-Label Text Classification Under Few-Shot ScenariosWenlong Hu, Qiang Fan, Hao Yan, Xinyao Xu, Shan Huang, Ke Zhang · 2025 · Applied Sciences
- Automated vs. manual linguistic annotation for assessing pragmatic competence in English classesMohsen Mahmoudi-Dehaki, Nasim Nasr-Esfahani · 2025 · Research Methods in Applied Linguistics
- AI in Atomic Force Microscopy: Advancing Biological Nanoscale Imaging and Autonomous DiscoverySeungmin Lee, Seokbeom Roh, Hyowon Woo, Gyudo Lee, Hyo Gi Jung, K A Lee, Hakho Lee, Dae Sung Yoon, Jeong Hoon Lee · 2026 · ACS Nano
- SEML: Self-Supervised Information-Enhanced Meta-learning for Few-Shot Text ClassificationHui Li, Guimin Huang, Yiqun Li, Xiaowei Zhang, Yabing Wang, Jun Li · 2023 · International Journal of Computational Intelligence Systems
- Few shot intelligent assessment method for compaction quality of earthwork considering uncertaintyNaifu Deng, Zaizhan An, Jiawang Hao, Qinglong Zhang · 2024 · Expert Systems with Applications
- FSRM-DDIE : few-shot learning methods based on relation metrics for the prediction of drug-drug interaction eventsLianwei Zhang, Dongjiang Niu, Beiyi Zhang, Qiang Zhang, Zhen Li · 2024 · Applied Intelligence
- Multimodal Data Fusion for Tabular and Textual Data: Zero-Shot, Few-Shot, and Fine-Tuning of Generative Pre-Trained Transformer ModelsShadi Jaradat, Mohammed Mamdouh Zakaria Elhenawy, Richi Nayak, Alexander Paz, Huthaifa I. Ashqar, Sébastien Glaser · 2025 · AI
- Efficient positioning error compensation for robots in wire arc hybrid manufacturing systemsJianlong Zhang, Jiarui Lin, Yang Gao, Zheng Wang, Fangda Xu, Jigui Zhu · 2025 · Robotics and Computer-Integrated Manufacturing
- Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural RepresentationMengshi Yang, Kaiyuan Tang, Chaoli Wang · 2025 · IEEE Pacific Visualization Conference (PacificVis)
- Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce DataFelix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian T. Schmid, Martin Atzmueller, Andreas Theissler · 2023 · IEEE International Conference on Industrial Informatics (INDIN)
- Combining Hilbert Feature Sequence and Lie Group Metric Space for Few-Shot Remote Sensing Scene ClassificationXiliang Chen, Guobin Zhu, Chan Ji · 2023 · IEEE Transactions on Geoscience and Remote Sensing
- DouN-GNN:Double nodes graph neural network for few-shot learningYan Zhang, Xudong Zhou, Nian Wang, Jun Hu Tang, Xuan Tao · 2024 · Neurocomputing
- Mixed contrastive transfer learning for few-shot workload prediction in the cloudZiran Zuo, Yifa Huang, Zhenghui Li, Ying Jiang, Chunhong Liu · 2024 · Computing
- Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learningYulong Ji, Kunjin Zou, Bin Zou · 2024 · Cybersecurity
- Curriculum-guided skill learning for long-horizon robot manipulation tasksJoão Alves, Nuno Lau, Filipe Miguel Teixeira Pereira da Silva · 2025 · Robotics and Autonomous Systems
- Emphasis on sensitivity and accuracy: Design and optimization of a high-sensitivity terahertz photonic crystal fiber sensor for precision analysis of petrochemical-based adulterants in hydrocarbon mixturesShuvo Sen, Md. Abdullah-Al-Shafi · 2025 · Sensing and Bio-Sensing Research
- Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene ClassificationDongmei Deng, Ping Yao · 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Fast-adaptive early-stage remaining useful life prediction of lithium-ion batteries with meta-learningJiaqi Yao, Haoyang Zhao, Julia Kowal · 2025 · Journal of Power Sources
- Adaptable microplastic classification using similarity learning on µFTIR spectra collected from µFTIR focal plane array imagingJustin A. Smolen, Gavin E. Moore, Nicholas D. Perez, Karen L. Wooley · 2025 · Proceedings of the National Academy of Sciences
- Cross-Modal Device-Free Radar Sensing With Information Maximization Enhancement and Few-Shot LearningChao Fang, Yong Wang, Mu Zhou, Bingcai Chen, Jiacheng Wang, Bao Peng · 2025 · IEEE Transactions on Microwave Theory and Techniques
- Reconfiguring Responsibility: An Empirical Analysis of Crisis Discourse and Situational Crisis Communication on DouyinPu Zhang, Zheng Wei, Feng Kong · 2026 · International Journal of Disaster Risk Science
- Adapting Vision–Language Models for Few-Shot Industrial Defect DetectionChayanon Sub-r-pa, Rung-Ching Chen · 2026 · Algorithms
- Transductive Learning for Textual Few-Shot Classification in API-based Embedding ModelsPierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language PromptsPatrick Bareiß, Roman Klinger, Jeremy Barnes · 2024 · International World Wide Web Conference (WWW)
- Combined modulation format identification and optical signal-to-noise ratio monitoring with high accuracy and generalizability based on a proposed fused module few-shot learning algorithm in dynamic coherent optical transmissionsDi Zhang, Hanyu Zhang, Yameng Cao, Yan Xue · 2024 · Optics Express
- Hierarchical Relational Inference for Few-Shot Learning in 3D Left Atrial SegmentationXuejiao Li, Jun Chen, Heye Zhang, Yongwon Cho, Sung Ho Hwang, Zhifan Gao, Guang Yang · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
- Blessing few-shot segmentation via semi-supervised learning with noisy support imagesRuntong Zhang, Hongyuan Zhu, Hanwang Zhang, Chen Gong, Joey Tianyi Zhou, Fanman Meng · 2024 · Pattern Recognition
- A few-shot learning methodology for improving safety in industrial scenarios through universal self-supervised visual features and dense optical flowJuan Jesús Losada-del-Olmo, Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz · 2024 · Applied Soft Computing