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Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017

Li Zhang

Timothy M. Hospedales

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Papers citing "Learning to Compare: Relation Network for Few-Shot Learning"

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Title
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement Zhen-Hu Ning Zhuotao Tian Guangming Lu Wenjie Pei 3DPC 76 14 0 06 Aug 2023
M $^3$ Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition Hao Tang Jun Liu Shuanglin Yan Rui Yan Zechao Li Jinhui Tang 92 41 0 06 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 94 9 0 05 Aug 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu Zhen Huang Zhiliang Tian Yunxiang Zhao Xuanyu Fei Dongsheng Li OOD 78 5 0 04 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 96 11 0 03 Aug 2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification Hengchu Lu Yuanjie Shao Xiang Wang Changxin Gao 65 1 0 01 Aug 2023
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 77 3 0 28 Jul 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 83 1 0 28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kai Zheng Huishuai Zhang Weiran Huang 64 8 0 28 Jul 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing Jing Wu N. Hovakimyan Jennifer Hobbs 72 14 0 27 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-Man Cheung VLM MedIm 127 24 0 26 Jul 2023
Cos R-CNN for Online Few-shot Object Detection G. P. Data Henry Howard-Jenkins D. W. Murray V. Prisacariu ObjD 41 1 0 25 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 65 9 0 19 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 49 4 0 18 Jul 2023
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 108 11 0 18 Jul 2023
Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling Zifeng Cheng Qingyu Zhou Zhiwei Jiang Xuemin Zhao Yunbo Cao Qing Gu 76 3 0 16 Jul 2023
A metric learning approach for endoscopic kidney stone identification Jorge Gonzalez-Zapata F. Lopez-Tiro Elias Villalvazo-Avila Daniel Flores-Araiza Jacques Hubert Andres Mendez-Vazquez Gilberto Ochoa-Ruiz Christian Daul 124 4 0 13 Jul 2023
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Yiwen Liao Yongsheng Gao Weichuan Zhang FAtt 27 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 96 78 0 10 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 89 2 0 09 Jul 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Dahyun Kang Piotr Koniusz Minsu Cho Naila Murray VLM ViT 85 26 0 07 Jul 2023
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning P. JishnuJaykumar Kamalesh Palanisamy Yu-Wei Chao Xinya Du Yu Xiang VLM 66 15 0 06 Jul 2023
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action Recognition Fei-Yu Guo Li Zhu Yiwang Wang Jing Sun ViT 78 8 0 05 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 94 0 0 04 Jul 2023
Contrastive Meta-Learning for Few-shot Node Classification Song Wang Zhen Tan Huan Liu Jundong Li 65 17 0 27 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 90 3 0 26 Jun 2023
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning William Heyden Habib Ullah M. Salman Siddiqui Fadi Al Machot VLM 68 4 0 26 Jun 2023
Practical Equivariances via Relational Conditional Neural Processes Daolang Huang Manuel Haussmann Ulpu Remes S. T. John Grégoire Clarté K. Luck Samuel Kaski Luigi Acerbi BDL 150 9 0 19 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 82 20 0 18 Jun 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 82 26 0 17 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Yongqian Li Jiabao Wang Zhiteng Wang 62 1 0 16 Jun 2023
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles Zhongying CuiZhu François Charette A. Ghafourian Debo Shi Matthew Cui Anjali Krishnamachar I. S. Bozchalooi 78 1 0 15 Jun 2023
Compositional Prototypical Networks for Few-Shot Classification Qiang Lyu Weiqiang Wang 56 11 0 11 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 74 1 0 08 Jun 2023
Unsupervised augmentation optimization for few-shot medical image segmentation Quan Quan Shang Zhao Qingsong Yao Heqin Zhu S. Kevin Zhou 88 1 0 08 Jun 2023
Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models Zhiyi Wang Shaoguang Mao Wenshan Wu Yan Xia Yan Deng Jonathan Tien 69 4 0 08 Jun 2023
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP Arsham Gholamzadeh Khoee Alireza Javaheri Saeed Reza Kheradpisheh M. Ganjtabesh OOD 73 6 0 07 Jun 2023
Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan Georgios Tzannetos Goran Radanović Adish Singla FedML 37 0 0 05 Jun 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation Shuo Lei Xuchao Zhang Jianfeng He Fanglan Chen Chang-Tien Lu VLM 29 15 0 03 Jun 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 98 0 0 02 Jun 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 82 2 0 30 May 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 91 6 0 30 May 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning Jin Yuan Yang Zhang Yangzhou Du Zhongchao Shi Xin Geng Jianping Fan Yong Rui 74 0 0 30 May 2023
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning Amirhossein Abaskohi S. Rothe Yadollah Yaghoobzadeh VLM 97 18 0 29 May 2023
Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes Wei-xin Xie Yanxiong Li Qianhua He Wenchang Cao Tuomas Virtanen CLL 82 6 0 29 May 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification Linhao Qu X. Luo Kexue Fu Manning Wang Zhijian Song 114 26 0 29 May 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans Zi Chen Jiazheng Li Jie Zhao Yiting Liu Hongfeng Li Bin Dong Lei Tang Li Zhang 77 1 0 29 May 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning Zhenrui Yue Huimin Zeng Mengfei Lan Heng Ji D. Wang VLM 70 14 0 27 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 84 3 0 27 May 2023
EXnet: Efficient In-context Learning for Data-less Text classification Debaditya Shome Kuldeep Yadav 57 1 0 24 May 2023