Low-Shot Learning with Imprinted Weights

Cited by (544)

Items 501–544 of 544

1. Fault Level Prediction Method for Urban Distribution Network Considering Class-Imbalance Problems
   Wen Zhang, Xinzhe Zhang, Huawei Mou, Shenghui Fu · 2023 · IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
2. A Simple Method to Directly Determine Novel Class Weight of CNN for Generalized Few-Shot Learning
   Keiichi Yamada · 2023 · Lecture notes in computer science
3. NeuTR: A Learnable Neural Data Augmentation Strategy for Supervised Contrastive Representation Learning in Fault Diagnosis with Limited Fault Data
   Luyao Zhang, Peng Peng, Heming Zhang · 2023 · China Automation Congress (CAC)
4. Towards the Necessity of Pre-trained Heads in Model-Agnostic Meta-Learning
   Thomas Goerttler, Philipp Pirlet, Klaus Obermayer · 2024 · Lecture notes in networks and systems
5. Open-Set Text Recognition: Case-Studies
   Xu-Cheng Yin, Chun Hung Yang, Chang Liu · 2024 · SpringerBriefs in computer science
6. Open-Set Text Recognition Implementations(III): Open-set Predictor
   Xu-Cheng Yin, Chun Hung Yang, Chang Liu · 2024 · SpringerBriefs in computer science
7. Introduction
   Xu-Cheng Yin, Chun Hung Yang, Chang Liu · 2024 · SpringerBriefs in computer science
8. Incremental one-class learning using regularized null-space training for industrial defect detection
   Matthias Hermann, Georg Umlauf, Bastian Goldlüecke, Matthias Franz · 2024 · International Conference on Machine Vision
9. Laplacian Regularized Variational Few-Shot Learning for Image Classification
   Yumna Zahid, Muhammad Atif Tahir, Jungong Han, Qiang Shen · 2024 · Advances in intelligent systems and computing
10. Task-Adaptive Multi-Source Representations for Few-Shot Image Recognition
    Ge Liu, Zhongqiang Zhang, Xiangzhong Fang · 2024 · Information
11. An Incremental Few Shot Approach for Litter Detection
    Yu Liao, Wei Gao, Shixin Mao, Shiwu Zhang · 2024 · Asia Conference on Algorithms, Computing and Machine Learning (CACML)
12. Learning Task-Specific Embeddings for Few-Shot Classification via Local Weight Adaptation
    Nianru Gong, Pengfei Duan, Yi Rong · 2024 · International Conference on Machine Learning and Computing (ICMLC)
13. Pseudo initialization based Few-Shot Class Incremental Learning
    Mingwen Shao, Xinkai Zhuang, Lixu Zhang, Wangmeng Zuo · 2024 · Computer Vision and Image Understanding
14. Non-episodic Variational Discriminative Few-Shot Classifier
    V. Padma, Chakravarthy Bhagvati · 2024 · Lecture notes in computer science
15. Generalized few-shot 3D point cloud segmentation
    Shuqian Yang · 2024
16. Delve into Cosine: Few-shot Object Detection via Adaptive Norm-cutting Scale
    Yanan Zhang, Yifan Jin, Rui Wang, Lixiang Liu · 2024 · International Joint Conference on Neural Networks (IJCNN)
17. Must Unsupervised Continual Learning Relies on Previous Information?
    Haoyang Cheng, Haitao Wen, Heqian Qiu, Lanxiao Wang, Minjian Zhang, Hongliang Li · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
18. A-FSL: Adaptive Few-Shot Learning via Task-Driven Context Aggregation and Attentive Feature Refinement
    Riti Paul, Sahil Vora, Nupur Thakur, Baoxin Li · 2024 · Lecture notes in computer science
19. Concept agent network for zero-base generalized few-shot learning
    Xuan Wang, Zhong Ji, Xiyao Liu, Yanwei Pang, Xuelong Li · 2025 · Applied Intelligence
20. A Few-Shot Learning Based Environmental Microorganism Image Classification Method
    Jin Yuan, Peng Zhao, Ning Xu, Chen Li, Tao Jiang · 2024 · International Conference on Machine Vision, Image Processing and Imaging Technology (MVIPIT)
21. Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification
    Ping Li, Zhu Xiang · 2025 · Mathematics
22. Adaptive Multi-Gradient Guidance with Conflict Resolution for Limited-Sample Regression
    Yu Lin, Jiaxiang Lin, Keju Zhang, Qin Zheng, Liqiang Lin, Qianqian Chen · 2025 · Information
23. Deep Learning Model With Fine-Tuning for Generalized Few-Shot Activity Recognition
    Wei Wang, Qingzhong Li · 2025 · IEEE Transactions on Human-Machine Systems
24. A few-shot learning method based on sample and parameter importance estimation for SAR image classification
    Erbo Zou, Bo Lei, Yuan Tai · 2025 · International Conference on Electronic Information Technology (EIT)
25. OrthCal: Synergizing Orthogonal Contrastive Learning and Prototype Calibration for Few-Shot Class-Incremental Learning
    Ruisong Dai, Hanwen Zhang, Xinyu Chen, Chenghao Qi, Heqian Qiu, Hongliang Li · 2025 · IEEE International Workshop on Multimedia Signal Processing (MMSP)
26. Few-shot Class-Incremental Learning via Generative Co-Memory Regularization
    Kexin Bao, Yong Li, Dan Zeng, Shiming Ge · 2026 · International Journal of Computer Vision
27. Tensortrim: dynamic tensor-train decomposition for efficient neural network compression
    Shiyi Luo, Mingshuo Liu, Yunduan Lou, Pu Sun, Yifeng Yu, Shangping Ren, Yu Bai · 2026 · International Journal of Machine Learning and Cybernetics
28. Making the most of available data : representation and adaptation for few-shot image classification
    Yann Lifchitz · 2021 · theses.fr (ABES)
29. Object viewpoint estimation in the wild
    Yang Xiao · 2021 · theses.fr (ABES)
30. Few-Shot Intent Classification in User-Generated Short Texts : Application to Conversational Agents
    Thomas Dopierre · 2021 · theses.fr (ABES)
31. Continual Learning for Computer Vision
    Arthur Douillard · 2022 · theses.fr (ABES)
32. Towards Few-Annotation Learning in Computer Vision : Application to Image Classification and Object Detection tasks
    Quentin Bouniot · 2023 · theses.fr (ABES)
33. Deep learning representations for prognostics and health management
    Alaaeddine Chaoub · 2024 · theses.fr (ABES)
34. Uncertainty quantification for vision regression tasks
    Xuanlong Yu · 2023 · theses.fr (ABES)
35. Incremental Few-Shot Semantic Segmentation Via Multi-Level Switchable Visual Prompts
    Maoxian Wan, Kaige Li, Qichuan Geng, Weimin Shi, Zhong Zhou · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
36. Few-Shot Learning and Meta-Learning
    Benyamin Ghojogh, Ali Ghodsi · 2026 · Springer eBooks
37. Gain from prior: Incremental few-shot instance segmentation via knowledge-retention transfer and negative proposal calibration
    Weixiang Gao, Caijuan Shi, Yuanzhouhan Cao, Ao Cai · 2026 · Computer Vision and Image Understanding
38. Apmp: APT attack detection in few-shot scenarios based on entity potential relations
    Jiacheng Li, Tong Li, Runzi Zhang, Zilong Wan, Zhen Yang · 2026 · Cybersecurity
39. Text-Guided Prototype Replay and Classifier Guidance for Incremental Few-Shot Semantic Segmentation
    Luofeng Zhang, Shengzhe You, Qian Shao, Yanjing Lei, Yu Liu, Fei Gao · 2026 · International Conference on Multimedia Retrieval
40. Tuning-Free Incremental Learning via Multilevel Prototypical Parts for Few-Shot Land Cover Segmentation
    Hanyuan Ge, Bo Ren, Junxi Guo, Xinyi Wang, Xiaoyu Zhao, Xizhe Liu, Chen Yang, Biao Hou, Licheng Jiao · 2026 · IEEE Transactions on Geoscience and Remote Sensing
41. Toward Data-Efficient Partial Discharge Diagnosis: Scalogram-Driven Few-Shot Learning for Pulse Classification
    Chi Duc Nguyen, Quoc Cuong Pham, Duc Thinh Dao, Hong Hoang Si, Thi Lan Huong Nguyen, Manh Cuong Hoang · 2026 · International Conference on Communications and Electronics (ICCE)
42. MPA-MCDNet: Momentum ProtoNet for Cognitive Load Detection in Autonomous Vehicle Takeover via VR-Simulated Scenarios
    Ding Ding, Yufeng Jiang, Zhengxing Jiao · 2026 · IEEE Transactions on Computational Social Systems
43. An Energy-Guided Distribution Calibration Method for Open-Set Few-Shot Face Recognition
    Xiaole Zhou, Chenxia Liao, Hao Ouyang, Xinyuan Wei, Birui Ouyang · 2026 · Electronics
44. AVISNet: An edge-computing model for acoustic identification of species from the Doñana bird community
    Delia Velasco-Montero, David Solis‐Martín, Jorge Fernández‐Berni, Giulia Bastianelli, Javier Bustamante · 2026 · PLoS ONE