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 401–500 of 722

  1. PONet: Prototype optimization network for few-shot medical image segmentation
    Siqi Wang, Xiaosheng Yu, Jianning Chi, Chengdong Wu, Xiujing Gao · 2025 · Neurocomputing
  2. No more laborious stem counting: AI-powered computer vision enables identification and quantification of solid and hollow alfalfa stems at the pixel level
    Brandon J. Weihs, Zhou Tang, Somshubhra Roy, Zezhong Tian, Deborah Jo Heuschele, Zhiwu Zhang, Cranos Williams, Zhou Zhang, Garett C. Heineck, Swayamjit Saha et al. · 2025 · Smart Agricultural Technology
  3. Few-Shot Learning for Hand-Based Micro Activity Recognition
    Florenc Demrozi, Fadi Al Machot · 2025 · IEEE International Conference on Omni-layer Intelligent Systems (COINS)
  4. Dual-level information fusion-boosted Fisher embedding discriminative dictionary learning for few-shot recognition
    Xin Zhang, Zhongqiang Zhang, Lei Wu, Jiaxu Wang, Jiaxu Wang · 2025 · Neurocomputing
  5. Enhance deep learning in few-shot datasets: the role of implicit symbolic rules
    Maonian Wu, Minhua Li, Cheng Qian, Bo Zheng, Shaojun Zhu, Wei Peng · 2025 · Signal Image and Video Processing
  6. Extracting knowledge from limited data: An updated review of data-driven and model-driven few-shot learning for agriculture
    Kam Meng Goh, Usman Ullah Sheikh, Jun Kit Chaw, Weng Kin Lai, Weng Chun Tan, Santhi Krishnamoorthy · 2025 · Applied Soft Computing
  7. Manifold-informed meta-learning for out-of-distribution detection and classification in small-scale industrial datasets
    Zihan Li, Akash Deep, Jaesung Lee, Minhee Kim · 2026 · Journal of Intelligent Manufacturing
  8. Multi-View Few-Shot Malware Classification With Support-Query Prototypes
    Shuhong Chen, Hanjun Li, Sheng Wen, Guojun Wang, Tianqing Zhu, Yang Xiang · 2025 · IEEE Transactions on Dependable and Secure Computing
  9. DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction
    Zimo Wen, Hanwen Hu, Nan Fang, Shiyou Qian, Jian Cao · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
  10. View-Robust Backbone and Discriminative Reconstruction for Few-Shot Fine-Grained Image Classification
    Jiawen Jiang, Jiahang Li, Jin Lü · 2025 · International Joint Conference on Neural Networks (IJCNN)
  11. Meta-GraphKAN:Few-Shot Graph Kolmogorov Arnold learning Networks for Molecular Property Prediction
    Yu Liu, Xinqi Li, Xianguo Zhang · 2025 · International Joint Conference on Neural Networks (IJCNN)
  12. Efficient Iterative Active Learning for Semantic Segmentation Using Sparse Point Annotations
    Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Olino de Albuquerque, Daniel G. Silva · 2025 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
  13. Verification of the Validity and Reliability of Therapeutic Communication Responses Generated by Large Language Models (LLMs): A Comparative Study of Prompt-Engineering Strategies
    Seong Kwang Kim, Geun Myun Kim, Sunkyung Cha, Miran Jung · 2025 · Journal of Korean Academy of Psychiatric and Mental Health Nursing
  14. Siamese Neural Network for Few-Shot Visual Inspection of Steel Surface Defects in Predictive Maintenance Systems
    Антонянц Егор Николаевич, Anna Aleksandrovna Aletdinova, Vitalii Zaozernov, Alexander Leontiev, Anton Vasiliev · 2025 · International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE)
  15. Few-shot object detection via semantic prompts and classifier decoupling
    Baifan Chen, Ruyi Zhu, Yilan Li · 2025 · Neural Networks
  16. The Impact of Prompt Language and Representation on LLM Reasoning: A Multilingual Empirical Study
    Lina Ji, Linghua Yao, Wei Xu, Jie Min, Li Yuan · 2025 · IEEE Access
  17. A Novel Transfer Learning Strategy Based on Inception-ResNet+ 1D-CNN for DC–DC Converter Degradation Fault Diagnosis
    Guoqing Zhang, Yang Liu, Zhiliang Chen, Yichun Wang · 2026 · IEEE Access
  18. A Brief Introduction to the Convergence of Artificial Intelligence and Biotechnology
    Megan C. Marcellin, Gianluca Pescaroli, Markus Schmidt, Benjamin D. Trump, Travis B. Tubbs, María Francisca Villegas-Torres, James H. Lambert, Christian Haggenmiller, Ya. B. Blume, Alexander J. Kamrud et al. · 2026 · NATO science for peace and security series. A, Chemistry and biology
  19. Class semantics guided knowledge distillation for few-shot class incremental learning
    Ping Li, Jiajun Chen, Shaoqi Tian, Ran Wang · 2026 · Information Sciences
  20. SCID-Net: Few-shot deep-hole defect instance segmentation via multi-grained feature coupling and instance-aware inference decoupling
    Zongyang Zhao, Jiehu Kang, Yichen Xu, Jian Liang, Luyuan Feng, Yuqi Ren, Ting Xue, Bin Wu · 2026 · Expert Systems with Applications
  21. Advancing Code Translation With Context-Aware Pre-Training in Data-Scarce Environments
    M V Deepak Naik, Bharat Jayaraman · 2026 · IEEE Access
  22. Swelling-shrinkage of an unsaturated clay upon freezing: Experimental investigation and data-driven modelling
    Juncheng Wu, Yang Lu, Y.L. Zhang, Siyu Zhang, Jian Wang, Sihong Liu · 2026 · Cold Regions Science and Technology
  23. Adaptive Strategies for Multi-Class Disease Detection in Azadirachta Indica Using Deep Learning with Few-Shot Adaptation (DL-FSA)
    Vidya H. A, M.S. Narasimha Murthy, A. Muthu Kumar · 2026 · Engineering Technology & Applied Science Research
  24. Generative data-engine foundation model for universal few-shot 2D vascular image segmentation
    Rongjun Ge, XIN LI, Yuxing Liu, Chengliang Liu, Pinzheng Zhang, Jiong Zhang, Jian Yang, Jean‐Louis Dillenseger, Chunfeng Yang, Yuting He et al. · 2026 · Medical Image Analysis
  25. Physics-informed cross-learning for seismic acoustic impedance inversion and wavelet extraction
    Junheng Peng, Xiaowen WANG, Yingtian Liu, Yong Li, Mingwei Wang · 2026 · Computers and Geotechnics
  26. Optimizing Urban Commercial Landscapes with POI Strategic Group Analysis: A Meta-learning Hypergraph Approach
    Jiaqi Jiang, Xin Lin, Jiahui Jin, Siyuan Huang, Haoyu Chen, Xigang Sun · 2026 · Lecture notes in computer science
  27. Adaptively Fine-Tuning and Ensembling Vision-Language Model for Few-Shot Image Classification
    Jie Yan, BaiShun Dong, Xiaoyuan Guan, Wei-Shi Zheng, Tong Zhang, Ruixuan Wang · 2026 · IEEE Transactions on Multimedia
  28. Few-Shot Multimodal Sensor Fusion Framework for Adaptive Sports Action Recognition in Inclusive Physical Education
    Xinmiao Zhang, Chengdong Zhu, Jianmin Huang · 2026 · International Journal of Humanoid Robotics
  29. Explaining Relation Networks for Few-Shot Learning
    Andrea Fedele, Beatrice Ferrigno, Riccardo Guidotti · 2025 · IEEE International Conference on Big Data (BigData)
  30. Squeeze Every Bit of Insight: Leveraging Few-shot Models with a Compact Support Set for Domain Transfer in Object Detection from Pineapple Fields
    Fabián Fallas-Moya, Danny Xie-Li, Saúl Calderón-Ramírez · 2025 · Latin American Computer Conference (CLEI)
  31. Overcoming labelled data scarcity for defect classification in scanning tunnelling microscopy
    Nikola L. Kolev, Max Trouton, Filippo Federici Canova, Geoff Thornton, David Zhe Gao, Neil J. Curson, Taylor J. Z. Stock · 2026 · Machine Learning Science and Technology
  32. Few-shot learning for classification of SEM images from green-synthesized nanoparticles of Momordica cymbalaria
    Umadevi Venkatappa, Savithri Bhat, Mukta Dixit, H. S. Aishwarya, Anjan P Kumar, K. Devaki Devi, Sreedevi Esuralla · 2026 · Scientific Reports
  33. SituFont: A Just-in-Time Adaptive Intervention Interface for Enhancing Mobile Readability in Situational Visual Impairments
    Jingruo Chen, Kexin Nie, Mingshan Zhang, Chun Yu, Zhiqi Gao, Kun Yue, Yuanchun Shi, Chen Liang · 2026 · CHI Conference on Human Factors in Computing Systems
  34. Asymmetric Cross-Modal Prototypical Networks for Few-Shot Image Classification
    Shengyu Xie, Guobin Deng, Xingxing Yang, Jie Zhou, Jinyun Tang, Ke-Jing Huang · 2026 · Symmetry
  35. Few-shot urban strategic group discovery with LLM annotation and hypergraph learning
    Hongru Lu, Jiaqi Jiang, Xiao Jing, Xin Lin, Haoxiang Zhang, Zhiang Wu · 2026 · World Wide Web
  36. Domain Dropout-Driven Prototype Enhancement Network for Cross-Domain Few-Shot Hyperspectral Change Detection
    Di Wang, Lina Xu, Yanni Dong, Ke Wu, Tao Chen, Yuxiang Zhang, Bo Du · 2026 · IEEE Transactions on Geoscience and Remote Sensing
  37. Addressing the online incremental transport mode choice prediction problem with an LLM-augmented class-incremental learning approach
    Taijie Chen, Zijian Shen, Bin Zhou, Yang Liu, Shuling Wang, Jintao Ke · 2026 · Transportation Research Part C Emerging Technologies
  38. Sensing digital risk discourse on algorithmically curated platforms: A case study of Typhoon Gaemi via LLM and explainable spatial analysis
    Pu ZHANG · 2026 · Safety Science
  39. A Systematic Literature Review on Data-Efficient and Adaptive Learning Techniques for Encrypted Traffic Classification Under Modern Protocols
    Muntakimur Rahaman, Azwan Mahmud, Azlan Abd Aziz, Osama Abuajwa, Ji‐Jian Chin · 2026 · Computers
  40. TDP-FKGC: Task-Guided Diffusion Prototype Network for Few Shot Knowledge Graph Completion
    Danyang Wang, Xuan Zhang, Zhi Jin, Chen Gao, KunPeng Du, Ming Zheng, Tong Li · 2026 · Big Data Mining and Analytics
  41. Unifying Personalization and Generalization in Federated Few-Shot Learning via Complementary Collaboration
    Shanfeng Wang, Ke Liu, Zhengyi Dong, Jianzhao Li, Yuan Gao, Maoguo Gong · 2026 · IEEE Transactions on Circuits and Systems for Video Technology
  42. Organic Chemistry as a Catalyst for AI Innovation: Challenges, Methods, and Emerging Paradigms
    Nitesh V. Chawla, Gisela A. González‐Montiel, Kehan Guo, Taicheng Guo, Ting Hua, Xiaobao Huang, Eric Inae, Meng Jiang, Khiem Le, Gang Liu et al. · 2026 · Chemical Reviews
  43. ComplianceGPT: LLM-driven Context-Aware Agent for Automated Medical Data Privacy Compliance
    Sharif Noor Zisad, Ragib Hasan · 2026 · International Conference on Communications
  44. Neuro-Symbolic Architectures: Formalizing, Extending, Evaluating, and Empowering Generative Artificial Intelligence
    Oualid Bougzime, Samir Jabbar, Christophe Cruz, Frédéric Demoly · 2026 · Neurosymbolic Artificial Intelligence
  45. Generalized Open-set Single-shot Character Recognition on Ancient Egyptian Hieratic Characters
    Stephan M. Unter, Chang Liu, Elisa H. Barney Smith · 2026 · Lecture notes in computer science
  46. Triple‐Level Content‐Addressable Vertical NAND Flash Memory
    Sungho Park, Jiseong Im, Yeongheon Yang, Ryun‐Han Koo, Jonghyun Ko, Mingyun Oh, Dongbeen Shin, Gyuweon Jung, Jong‐Ho Lee · 2026 · Advanced Science
  47. ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP
    Philipp Kohl, Nils Freyer, Yoka Krämer, Henri Werth, Steffen Wolf, Bodo Kraft, Matthias Meinecke, Albert Zündorf · 2023 · Communications in computer and information science
  48. Efficient and Lightweight Visual Tracking with Differentiable Neural Architecture Search
    Peng Gao, Xiao Liu, Hong-Chuan Sang, Yu Wang, Fei Wang · 2023 · Electronics
  49. Multimodal few-shot classification without attribute embedding
    Jun Qing Chang, Deepu Rajan, Nicholas Chan Hua Vun · 2024 · EURASIP Journal on Image and Video Processing
  50. Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings
    Lucas David, Luis Augusto Libório Oliveira Fonseca, Guilherme Paiva, Marianna Severo, Eduardo Alves do Valle Junior, Hélio Pedrini, Zanoni Dias · 2023 · IEEE Latin American Conference on Computational Intelligence (LA-CCI)
  51. Low-Data Welding Defects Detection
    Anton Evgenievich Misnik, Eduard Kapelko · 2024 · International Conference on Information Technologies in Engineering Education (Inforino)
  52. Exploration and Optimization of Lottery Ticket Hypothesis for Few-shot Image Classification Task
    Chenyu Ma, Jinfang Jia, Jianqiang Huang, Xiaoying Wang · 2024 · Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)
  53. A comprehensive review for Generalized Few-Shot Image Classification
    Sai Yang, Bin Hu, Fan Liu, Xiaoxin Wu, Weiping Ding, Jun Zhou · 2026 · Array
  54. MAML-TSC: Model-Agnostic Meta-Learning for Time Series Classification
    Jiahao Wang, Zutong Sun, Hang Yan, Hao Chen · 2024 · International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
  55. A convex Kullback-Leibler divergence and critical-descriptor prototypes for semi-supervised few-shot learning
    Yukun Liu, Daming Shi · 2025 · Applied Intelligence
  56. Computer Vision-Based Method for Digital Twin Modelling in Railway
    Shirui Zhang, Briac Leromancer, Claire Nicodème · 2024 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  57. Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach
    Elona Shatri, Daniel Raymond, György Fazekas · 2025 · IEEE International Conference on Image Processing, Applications and Systems (IPAS)
  58. Medical imaging and artificial intelligence
    Keith A. Goatman · 2025 · Elsevier eBooks
  59. Exploring Low-Resource Urdu Speech Emotion Recognition Employing Siamese and CNN Models
    Muhammad Adeel, Zhi-Yong Tao · 2025 · Lecture notes in electrical engineering
  60. Homology detection using a protein secondary structure-based large language model
    Roman Kogay, Weicheng Ma, Jad Bousselham, Zechen Yang, Daniel N. Rockmore, Olga Zhaxybayeva, Soroush Vosoughi · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  61. A Few-Shot Learning Methodology for Improving Safety in Industrial Scenarios Through Universal Self-Supervised Visual Features and Dense Optical Flow
    Juan Jesús Losada-del-Olmo, Ángel Luis Perales Gómez, Alberto Ruiz, Pedro E. López-de-Teruel · 2024 · SSRN Electronic Journal
  62. Statistical few-shot learning for large-scale classification
    Andrew Simpson, Semhar Michael · 2025 · SSRN Electronic Journal
  63. 2D and 3D visual understanding with limited supervision
    Zhonghua Wu · 2023
  64. Tripletmaml: A Metric-Based Model-Agnostic Meta-Learning Algorithm for Few-Shot Classification
    Ayla Gülcü, Zeki Kuş, İsmail Taha Samed Özkan, Osman Furkan Karakuş · 2023 · SSRN Electronic Journal
  65. Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
    Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida · 2023 · arXiv (Cornell University)
  66. Distributed few-shot learning with prototype distribution correction
    Zhiling Fu, Dongfang Tang, Pingchuan Ma, Zhe Wang, Wen Gao · 2023 · Applied Intelligence
  67. Few-Shot Person Re-identification Based on Hybrid Pooling Fusion and Gaussian Relation Metric
    Guizhen Chen, Guofeng Zou, Jinjie Li, Xiaofei Zhang · 2023 · Lecture notes in computer science
  68. Tagging Items with Emerging Tags: A Neural Topic Model Based Few-Shot Learning Approach
    Shangkun Che, Hongyan Liu, Shen Liu · 2024 · ACM Transactions on Information Systems
  69. Learning Stable Task-Level Manifold for Few-Shot Learning
    Siyi Yu, Wei Luo, Gang Li, Bo Xiong Yang · 2023 · International Conference on Digital Image Computing: Techniques and Applications (DICTA)
  70. An Enhanced Approach for Few-Shot Segmentation Via Smooth Downsampling Mask and Label Smoothing Loss
    Hailong Jin, Huiying Li · 2024 · SSRN Electronic Journal
  71. LapEfficientDepth: lightweight model for monocular depth estimation based on small samples
    Guangyuan Zhang, Hongliang Guan, Kefeng Li, Zhenfei Wang, Wang Peng, Chen Fu, Zhenfang Zhu · 2024 · Research Square
  72. Sequence-Spectrogram Fusion Network for Machinery Diagnosis Through Few-Shot Time-Series Classification
    Hao Zhang, Teng Li, Ai Jing, Siyuan Yang · 2024 · SSRN Electronic Journal
  73. Active Few-Shot Learning for Rare Bioacoustic Feature Annotation
    Ben McEwen, Kaspar Soltero, Stefanie Gutschmidt, Andrew Bainbridge-Smith, James Atlas, Richard R. Green · 2024 · SSRN Electronic Journal
  74. Evaluation of few-shot detection of head and neck anatomy in CT
    Kyung‐Eun Lee, Jihoon Cho, Jiye Lee, Fangxu Xing, Xiaofeng Liu, Hyungjoon Bae, Kyungsu Lee, Jae Youn Hwang, Jinah Park, Georges El Fakhri et al. · 2024 · SPIE Medical Imaging: Computer-Aided Diagnosis
  75. Dynamic Distribution Calibration Method for Few-Shot Learning
    Majid Habib Khan, Jinwei Zhao Liu, Xinhong Hei, Jiedong Liu, Hongtao Zhang, Shuangjiang Li, Yu Liu, Muhammad Imran · 2024 · Research Square
  76. Reducing calibration effort for brain-computer interfaces
    Niklas Smedemark-Margulies · 2024
  77. Less is More: A Closer Look at Semantic-Based Few-Shot Learning
    Chunpeng Zhou, Zhi Yu, Xilu Yuan, Sheng Zhou, Jiajun Bu, Haishuai Wang · 2024 · SSRN Electronic Journal
  78. Meta-Learning for Time Series Analysis and/or Forecasting: Concept Review and Comprehensive Critical Comparative Survey
    Witesyavwirwa Vianney Kambale, Denis D’Ambrosi, Paraskevi Fasouli, Kyandoghere Kyamakya · 2024 · Lecture notes in networks and systems
  79. Classification and Labeling Techniques of Educational Resources Based on BERT+CNN's Educational Text Classification Model
    Weizhi Zhang, Yu Lih Jiun, Jonathan Yong Chung Ee · 2024 · International Journal of Religion
  80. Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients
    András Millinghoffer, Mátyás Antal, Márk Marosi, András Formanek, András Antos, Péter Antal · 2024 · Lecture notes in computer science
  81. Few-shot synthetic aperture radar object detection algorithm based on meta-learning and variational inference
    Zining Han, Baohua Zhang, Yongxiang Li, Yu Gu, Jianjun Li, Guoyin Ren · 2024 · Journal of Applied Remote Sensing
  82. Efficient Neural Network Fine-Tuning via Layer Contribution Analysis
    Zhizhuo Liu, Nanjian Zhou, Min Liu, Zhibang Liu, Chaonong Xu · 2024 · Lecture notes in computer science
  83. Few-Shot Learning with Novelty Detection
    Kim Bjerge, Paul Bodesheim, Henrik Karstoft · 2024 · Communications in computer and information science
  84. One-Shot Defect Fingerprint Comparability Using Siamese Networks for Wafer Map Similarity in Semiconductor Manufacturing
    Christian Weber, Sathvik Dembale Krishnappagowda, Ralf Montino, Peter Czerner, Madjid Fathi · 2024 · Springer eBooks
  85. Enhancing CrossTransformer with fine-grained spatio-temporal modeling for few-shot action recognition
    Yukai Zhao, Jingwei Wang, Tianyi Yin, Min Liu, Gaowei Xu, Yunlong Ma · 2026 · Neurocomputing
  86. Map Activation Quantization for Image Classification with Limited Data
    Xiaohui Li, Qi Wu, Wentao Zhang, Zhijun Tan, Ruixuan Wang · 2024 · IEEE International Conference on Image Processing and Computer Applications (ICIPCA)
  87. Few-Shot Graph Neural Networks Framework Incorporating DGAT for Planetary Gearbox Diagnosis
    Jia Gao, Peng Chen, Yaqiang Jin, Can Xu · 2024 · Mechanisms and machine science
  88. Multi-scale cross-fusion attention for few-shot intestinal polyp image semantic segmentation
    Yuxiu Kang, Yaling Zhu, Jundi Wang · 2024 · International Conference on Optics, Electronics, and Communication Engineering (OECE)
  89. A Quality Assessment Method of Few-Shot Datasets Based on the Fusion of Quantity and Quality
    Zhengchao Zhang, Lianke Zhou, Junzheng Sun, Nianbin Wang · 2024 · Lecture notes in computer science
  90. Enhancing Object Segmentation via Few-Shot Learning with Limited Annotated Data
    Iván García‐Aguilar, Syed Ali Haider Jafri, David A. Elizondo, Saul Calderón, Sarah Greenfield, Rafael Marcos Luque‐Baena · 2024 · Lecture notes in networks and systems
  91. Tendencies of Unsupervised Learning on ECG Signals
    Pavel Kulemin, Yulia Preobrazhenskaya, Lana Sereda, Lev A. Smirnov · 2024 · International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
  92. Reconstruction of central arterial pressure waveform based on CBL-iTransformer model from radial arterial pressure waveform
    Xiaolu Li, Tao Peng, Libin Zhang, Hanguang Xiao, Yu Liu · 2026 · International Journal of Biomedical Engineering and Technology
  93. A robust few‐shot classifier with image as set of points
    Suhua Peng, Zongliang Zhang, Xingwang Huang, Zongyue Wang, Shubing Su, Guorong Cai · 2025 · IET Computer Vision
  94. Federated Learning and Optimization for Few-Shot Image Classification
    Yi Zuo, Zhenping Chen, Jing Feng, Yunhao Fan · 2025 · Computers, materials & continua/Computers, materials & continua (Print)
  95. Concatenated Attention: A Novel Method for Regulating Information Structure Based on Sensors
    Zeyu Zhang, Tianqi Chen, Yuki Todo · 2025 · Applied Sciences
  96. An accurate cell segmentation method for high-resolution complex brain image
    Xiaofeng Xu, Shuai Li, Wei Zheng · 2024 · International Conference on Image, Vision and Computing (ICIVC)
  97. Multi-Model Fusion for Enhanced Cyber-Bullying Detection in Digital Communication
    Sathea Sree S, Nalini Joseph L · 2024 · International Conference on Computational Intelligence and Network Systems (CINS)
  98. Finding an Optimal Small Sample of Training Dataset for Computer Vision Deep-Learning Models
    Aviv Yehezkel, Eyal Elyashiv · 2024 · International Conference on Machine Learning and Applications
  99. Background-Enhanced Visual Prompting Transformer for Generalized Few-Shot Semantic Segmentation
    Man Li, Xiaodong Ma · 2025 · Electronics
  100. Prohibited Item Detection Technology Based on Meta-DETR
    Jiajian Zeng, Enhua Zhang, Xiaohai Long, Yiqi Deng, Shihan Xu, Guangyi Xiao · 2024 · International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)