Low-Shot Learning with Imprinted Weights
Qi, Hang, Brown, Matthew, Lowe, David G.·2018·2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Cited by (544)
Items 101–200 of 544
- On Episodes, Prototypical Networks, and Few-shot LearningSteinar Laenen, Luca Bertinetto · 2020 · arXiv (Cornell University)
- Spatial Contrastive Learning for Few-Shot ClassificationYassine Ouali, Céline Hudelot, Myriam Tami · 2021 · Lecture notes in computer science
- Untitled work2021 · International Conference on Learning Representations
- Adjusting Decision Boundary for Class Imbalanced LearningByungju Kim, Junmo Kim · 2020 · IEEE Access
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- Knowledge Graph Transfer Network for Few-Shot RecognitionRiquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
- Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image ClassificationHongyang Jiang, Mengdi Gao, Heng Li, Richu Jin, Hanpei Miao, Jiang Liu · 2022 · IEEE Journal of Biomedical and Health Informatics
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- Towards open-set text recognition via label-to-prototype learningChang Liu, Chun Hung Yang, Haibo Qin, Xiaobin Zhu, Cheng‐Lin Liu, Xu-Cheng Yin · 2022 · Pattern Recognition
- Striking a Balance between Stability and Plasticity for Class-Incremental LearningGuile Wu, Shaogang Gong, Pan Li Queen · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Curvature Generation in Curved Spaces for Few-Shot LearningZhi Feng Gao, Yuwei Wu, Yunde Jia, Mehrtash Tafazzoli Harandi · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Sylph: A Hypernetwork Framework for Incremental Few-shot Object DetectionYin, Li, Perez-Rua, Juan M, Liang, Kevin J · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Dynamic Extension Nets for Few-shot Semantic SegmentationLizhao Liu, Junyi Cao, Min‐Qian Liu, Yong Fang Guo, Qi Chen, Mingkui Tan · 2020 · ACM International Conference on Multimedia (ACM MM)
- Memory-Augmented Relation Network for Few-Shot LearningJun He, Richang Hong, Xueliang Liu, Mingliang Xu, Zheng-Jun Zha, Meng Wang · 2020 · ACM International Conference on Multimedia (ACM MM)
- Does Head Label Help for Long-Tailed Multi-Label Text ClassificationLin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- Efficient Few-Shot Object Detection via Knowledge InheritanceZe Yang, Chi Zhang, Ruibo Li, Yi Xu, Guosheng Lin · 2022 · IEEE Transactions on Image Processing
- Training Keyword Spotters with Limited and Synthesized Speech DataJames Wuh Lin, Kevin Kilgour, Dominik Roblek, Matthew Sharifi · 2020 · IEEE International Conference on Acoustics Speech and Signal Processing
- A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce DataHengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng · 2020 · IEEE Transactions on Medical Imaging
- Few-Shot Continual Learning for Audio ClassificationYu Wang, Nicholas J. Bryan, Mark Cartwright, Juan Pablo Bello, Justin Salamon · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
- Learning from Few Samples: A SurveyNihar Bendre, Hugo Terashima‐Marín, Peyman Najafirad · 2020 · arXiv (Cornell University)
- OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental LearningNoor Ahmed, Anna Kukleva, Bernt Schiele · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Subspace Regularizers for Few-Shot Class Incremental LearningAfra Feyza Akyürek, Ekin Akyürek, Derry Tanti Wijaya, Jacob Andreas · 2021 · arXiv (Cornell University)
- Self-augmentation: Generalizing deep networks to unseen classes for few-shot learningJin-Woo Seo, Hong-Gyu Jung, Seong–Whan Lee · 2021 · Neural Networks
- A Class Imbalance Loss for Imbalanced Object RecognitionLinbin Zhang, Caiguang Zhang, Sinong Quan, Huaxin Xiao, Gangyao Kuang, Li Liu · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Cognitively-Inspired Model for Incremental Learning Using a Few ExamplesAli Ayub, Alan Richard Wagner · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Global-Local Interplay in Semantic Alignment for Few-Shot LearningFusheng Hao, Fengxiang He, Jun Sheng Cheng, Dacheng Tao · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
- Recent advances of few-shot learning methods and applicationsJianyuan Wang, Kexin Liu, YuCheng Zhang, Biao Leng, Jinhu Lü · 2023 · Science China Technological Sciences
- Few-shot classification of façade defects based on extensible classifier and contrastive learningZhiyan Cui, Qian Wang, Jingjing Guo, Na Lü · 2022 · Automation in Construction
- A Two-phase Prototypical Network Model for Incremental Few-shot Relation ClassificationHaopeng Ren, Yi Cai, Xiaofeng Chen, Guohua Wang, Qing Li · 2020 · International Conference on Computational Linguistics
- Revisiting Fine-tuning for Few-shot LearningAkihiro Nakamura, Tatsuya Harada · 2019 · arXiv (Cornell University)
- Machine Learning with Confidential Computing: A Systematization of KnowledgeFan Mo, Zahra Tarkhani, Hamed Haddadi · 2024 · ACM Computing Surveys
- Few-shot learning for dermatological disease diagnosisViraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chablani, David Alexander Sontag, Xavier Amatriain · 2022 · Elsevier eBooks
- Meta-Learned Confidence for Few-shot LearningSeong Min Kye, Haebeom Lee, Hoirin Kim, Sung Ju Hwang · 2020 · arXiv (Cornell University)
- Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and SystemCongying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu · 2021 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
- Learning from Miscellaneous Other-Class Words for Few-shot Named Entity RecognitionMeihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li · 2021
- Attribute Prototype Network for Any-Shot LearningWenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata · 2022 · International Journal of Computer Vision
- Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image ClassificationMingyang Zhang, Hao Liu, Maoguo Gong, Hao Li, Yue Wu, Xiangming Jiang · 2023 · IEEE Transactions on Geoscience and Remote Sensing
- A Survey of Few-Shot Learning: An Effective Method for Intrusion DetectionRuixue Duan, Dan Li, Qiang Tong, Tao Yang, Xiaotong Liu, Xiulei Liu · 2021 · Security and Communication Networks
- Incremental Few-Shot Fault Diagnosis With Cosine-Represent Real-Time Evolved Network of Transmission SystemsShen Yan, Haidong Shao, Zhuo Long, Bin Liu · 2025 · IEEE Transactions on Transportation Electrification
- GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote SensingJing Wu, Naira Hovakimyan, Jennifer A. Hobbs · 2023 · Frontiers in artificial intelligence and applications
- Meta-Learning for Beam Prediction in a Dual-Band Communication SystemRuming Yang, Zhengming J. Zhang, Xiangyu Zhang, Chunguo Li, Yongming Huang, Lüxi Yang · 2022 · IEEE Transactions on Communications
- Computer vision and deep learning meet plankton: Milestones and future directionsMassimiliano Ciranni, Vittorio Murino, Francesca Odone, Vito Paolo Pastore · 2024 · Image and Vision Computing
- Few-Shot Learning via Feature Hallucination with Variational InferenceQinxuan Luo, Lingfeng Wang, Jingguo Lv, Shiming Xiang, Chunhong Pan · 2021 · IEEE Winter Conference on Applications of Computer Vision
- Transductive Relation-Propagation With Decoupling Training for Few-Shot LearningYuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Ping Bai, Xianglong Liu, Meng Wang · 2021 · IEEE Transactions on Neural Networks and Learning Systems
- Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained RecognitionLianbo Zhang, Shaoli Huang, Wei Liu · 2021 · IEEE Transactions on Multimedia
- Dual-Teacher Class-Incremental Learning With Data-Free Generative ReplayYoojin Choi, Mostafa El‐Khamy, Jungwon Lee · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Multidimensional Prototype Refactor Enhanced Network for Few-Shot Action RecognitionShuwen Liu, Min Jiang, Jun Kong · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
- DocFace+: ID Document to Selfie MatchingYichun Shi, Anil K. Jain · 2019 · IEEE Transactions on Biometrics Behavior and Identity Science
- Large-Scale Few-Shot Learning via Multi-modal Knowledge DiscoveryShuo Wang, Jun Yue, Jianzhuang Liu, Qi Chuan Tian, Meng Wang · 2020 · Lecture notes in computer science
- PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networksGongjie Zhang, Kaiwen Cui, Rongliang Wu, Shijian Lu, Yonghong Tian · 2021 · IEEE Winter Conference on Applications of Computer Vision
- Few-Shot Domain Adaptation via Mixup Optimal TransportBingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding · 2022 · IEEE Transactions on Image Processing
- ConvProtoNet: Deep Prototype Induction towards Better Class Representation for Few-Shot Malware ClassificationZhijie Tang, Peng Wang, Junfeng Wang · 2020 · Applied Sciences
- Few-Shot Learning by Integrating Spatial and Frequency RepresentationXiangyu Chen, Guanghui Wang · 2021 · Canadian Conference on Computer and Robot Vision
- Attentive Feature Augmentation for Long-Tailed Visual RecognitionWeiqiu Wang, Zhicheng Zhao, Pingyu Wang, Fei Su, Hongying Meng · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
- Open Long-Tailed Recognition in a Dynamic WorldZiwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Long-tail Recognition via Compositional Knowledge TransferSarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamás J. Madarász, Yongxin Yang, Zhenguo Li · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- An EM Framework for Online Incremental Learning of Semantic SegmentationShipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He · 2021 · ACM International Conference on Multimedia (ACM MM)
- Continual Learning through Retrieval and ImaginationZhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
- Few-Shot Fine-Grained Image Classification: A Comprehensive ReviewJie Ren, Changmiao Li, Yaohui An, Weichuan Zhang, Changming Sun · 2024 · AI
- On the Importance of Distractors for Few-Shot ClassificationRajshekhar Das, Yu-Xiong Wang, José M. F. Moura · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Induction Networks for Few-Shot Text ClassificationRuiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Qiao Sun · 2019 · arXiv (Cornell University)
- Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot LearningXiu-Shen Wei, Heyang Xu, Zhiwen Yang, Chen-Long Duan, Yuxin Peng · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Incremental Few-Shot Learning for Pedestrian Attribute RecognitionLiuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li · 2019 · International Joint Conference on Artificial Intelligence
- Multi-Floor Indoor Localization Based on Multi-Modal SensorsGuangbing Zhou, Shugong Xu, Shunqing Zhang, Yu Wang, Chenlu Xiang · 2022 · Sensors
- To Filter Prune, or to Layer Prune, That Is the QuestionSara Elkerdawy, Mostafa Elhoushi, Abhineet Kumar Singh, Hong Zhang, Nilanjan Ray · 2021 · Lecture notes in computer science
- t-vMF Similarity For Regularizing Intra-Class Feature DistributionTakumi Kobayashi · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- When Wafer Failure Pattern Classification Meets Few-shot Learning and Self-Supervised LearningHao Geng, Fan Yang, Xuan Zeng, Bei Yu · 2021 · International Conference on Computer Aided Design
- Prediction Calibration for Generalized Few-Shot Semantic SegmentationZhihe Lu, Sen He, Da Li, Yi-Zhe Song, Tao Xiang · 2023 · IEEE Transactions on Image Processing
- Distilling Cross-Task Knowledge via Relationship MatchingHan-Jia Ye, Su Lu, De‐Chuan Zhan · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Constructing Balance from Imbalance for Long-Tailed Image RecognitionYue Xu, Yong–Lu Li, Jiefeng Li, Cewu Lu · 2022 · Lecture notes in computer science
- Learning to Select Base Classes for Few-Shot ClassificationLinjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- PTN: A Poisson Transfer Network for Semi-supervised Few-shot LearningHuaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- Tensor feature hallucination for few-shot learningMichalis Lazarou, Tania Stathaki, Yannis Avrithis · 2022 · IEEE Winter Conference on Applications of Computer Vision
- CauSeRPriyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam M. Shroff · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
- Learning Relative Feature Displacement for Few-Shot Open-Set RecognitionShule Deng, Jin-Gang Yu, Zihao Wu, Hongxia Gao, Yansheng Li, Yang Yang · 2022 · IEEE Transactions on Multimedia
- Few-Shot Object Detection with Model CalibrationQi Fan, Chi–Keung Tang, Yu‐Wing Tai · 2022 · Lecture notes in computer science
- AdarGCN: Adaptive Aggregation GCN for Few-Shot LearningJianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang · 2021 · IEEE Winter Conference on Applications of Computer Vision
- XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot LearningS.W. Yoon, Do-Yeon Kim, Jun Seok Seo, Jaekyun J. Moon · 2020 · arXiv (Cornell University)
- Multi-domain few-shot image recognition with knowledge transferMingxi Li, Ronggui Wang, Juan Yang, Lixia Xue, Min Qiang Hu · 2021 · Neurocomputing
- A fusion spatial attention approach for few-shot learningHeda Song, Bowen Deng, Michael P. Pound, Ender Özcan, Isaac Triguero A · 2021 · Information Fusion
- Semi-Supervised Few-shot Learning via Multi-Factor ClusteringJie Ling, Lei Liao, Meng Yang, Jia Shuai · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Contrastive Prototype Learning with Augmented Embeddings for Few-Shot LearningYizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang · 2021 · arXiv (Cornell University)
- Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot LearningAyyappa Kumar Pambala, Titir Dutta, Soma Biswas · 2020 · IEEE Winter Conference on Applications of Computer Vision
- Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsMateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky · 2020 · Lecture notes in computer science
- Graph Convolutional Networks for Learning with Few Clean and Many Noisy LabelsAhmet İşcen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum, Cordelia Schmid · 2020 · Lecture notes in computer science
- Multi-spectral template matching based object detection in a few-shot learning mannerFeng Chen, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Joey Tianyi Zhou · 2022 · Information Sciences
- Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT ImagesD. Suganya, R. Kalpana · 2023 · Engineering Applications of Artificial Intelligence
- Adaptation-Oriented Feature Projection for One-shot Action RecognitionYixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang, Yonghong Tian · 2020 · IEEE Transactions on Multimedia
- A Closer Look at Prototype Classifier for Few-Shot Image ClassificationMingcheng Hou, Issei Sato · 2022 · neural information processing systems
- Generalized Knowledge Distillation via Relationship MatchingHan-Jia Ye, Su Lu, De‐Chuan Zhan · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Hyperspectral Estimation of Soil Copper Concentration Based on Improved TabNet Model in the Eastern Junggar CoalfieldYuan Wang, Abdugheni Abliz, Hongbing Ma, Li Liu, Alishir Kurban, Ümüt Halik, Matti Pietikäinen, Wenjuan Wang · 2022 · IEEE Transactions on Geoscience and Remote Sensing
- Combating Label Distribution Shift for Active Domain AdaptationSehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak · 2022 · Lecture notes in computer science
- Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic SegmentationDipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker · 2023 · IEEE Winter Conference on Applications of Computer Vision
- SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked AutoencodersQingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Adaptive Learning Knowledge Networks for Few-Shot LearningMinghao Yan · 2019 · IEEE Access
- Reweighting and information-guidance networks for Few-Shot LearningZhong Ji, Xingliang Chai, Yunlong Yu, Zhongfei Mark Zhang · 2020 · Neurocomputing
- A few-shot rare wildlife image classification method based on style migration data augmentationQiaoyi Zhang, Xiaoli Yi, Jiali Guo, Yadong Tang, Tao Feng, Rui Liu · 2023 · Ecological Informatics
- Proto-CLIP: Vision-Language Prototypical Network for Few-Shot LearningJishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Xiang Yu · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Weight Imprinting Classification-Based Force Grasping With a Variable-Stiffness Robotic GripperHaiyue Zhu, Xiong Li, Wenjie Chen, Xiaocong Li, Jun Ma, Chek Sing Teo, Tat Joo Teo, Wei Lin · 2021 · IEEE Transactions on Automation Science and Engineering
- Weakly-supervised Compositional FeatureAggregation for Few-shot RecognitionPing Hu, Ximeng Sun, Kate Saenko, Stan Sclaroff · 2019 · arXiv (Cornell University)