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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
Learning Transferable Adversarial Robust Representations via Multi-view Consistency Minseon Kim Hyeonjeong Ha Dong Bok Lee Sung Ju Hwang 69 0 0 19 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 105 8 0 18 Oct 2022
Prediction Calibration for Generalized Few-shot Semantic Segmentation Zhihe Lu Sen He Da Li Yi-Zhe Song Tao Xiang ViT 71 26 0 15 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 73 1 0 12 Oct 2022
Semantic Cross Attention for Few-shot Learning Bin Xiao Chien Liu W. Hsaio 66 1 0 12 Oct 2022
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors Karim Guirguis Mohamed Abdelsamad George Eskandar Ahmed Hendawy Matthias Kayser B. Yang Jürgen Beyerer ObjD 92 2 0 11 Oct 2022
Improving Sample Efficiency of Deep Learning Models in Electricity Market G. Ruan Jianxiao Wang H. Zhong Q. Xia C. Kang 27 6 0 11 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Zou Chelsea Finn Jimeng Sun 67 4 0 11 Oct 2022
Stock Trading Volume Prediction with Dual-Process Meta-Learning Ruibo Chen Wei Li Zhiyuan Zhang Ruihan Bao Keiko Harimoto Xu Sun AIFin AI4TS 32 3 0 11 Oct 2022
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning Linhai Zhuo Yu Fu Jingjing Chen Yixin Cao Yu-Gang Jiang 125 17 0 11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 77 16 0 11 Oct 2022
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning Changkun Ye Nick Barnes L. Petersson Russell Tsuchida BDL SyDa VLM 61 3 0 11 Oct 2022
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation Yixiong Zou Shanghang Zhang Yuhua Li Rui Li CLL 59 66 0 10 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection Fei Zhao Yuchen Shen Zhanghua Wu Xinyu Dai 93 11 0 09 Oct 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport D. Guo Longlong Tian He Zhao Mingyuan Zhou H. Zha OODD 74 20 0 09 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 85 3 0 07 Oct 2022
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Prashant Pandey Aleti Vardhan Mustafa Chasmai Tanuj Sur Brejesh Lall AAML 57 9 0 07 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 60 2 0 06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 75 3 0 05 Oct 2022
Weak-shot Semantic Segmentation via Dual Similarity Transfer Junjie Chen Li Niu Siyuan Zhou Jianlou Si Chao Qian Liqing Zhang 80 6 0 05 Oct 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators Abhra Chaudhuri Massimiliano Mancini Zeynep Akata Anjan Dutta 60 4 0 05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 95 9 0 05 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Zican Zha Hao Tang Yunlian Sun Jinhui Tang 100 78 0 04 Oct 2022
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning Bin Liu Boyu Yang Lingxi Xie Ren Wang Qi Tian QiXiang Ye CLL 78 18 0 01 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022 Liming Gu Zhixiang Chi Huan Liu Yuanhao Yu Yang Wang 79 7 0 01 Oct 2022
Revisiting Few-Shot Learning from a Causal Perspective Guoliang Lin Yongheng Xu Hanjiang Lai Jian Yin CML 104 3 0 28 Sep 2022
Collaboration of Pre-trained Models Makes Better Few-shot Learner Renrui Zhang Bohao Li Wei Zhang Hao Dong Hongsheng Li Peng Gao Yu Qiao VLM 114 7 0 25 Sep 2022
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization Dazhuo Wang Jianfei Yang Wei Cui Lihua Xie S. Sun 73 31 0 21 Sep 2022
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search Bharti Munjal Alessandro Flaborea S. Amin F. Tombari Fabio Galasso 60 24 0 21 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 72 1 0 20 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 83 16 0 18 Sep 2022
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 107 57 0 17 Sep 2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner Mengting Hu H. Gao Yinhao Bai Mingming Liu 68 0 0 14 Sep 2022
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration Yiwen Li Yunguan Fu Iani J. M. B. Gayo Qianye Yang Zhe Min ... Matthew J. Clarkson Henkjan J. Huisman D. Barratt V. Prisacariu Yipeng Hu 70 19 0 12 Sep 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification Tianyi Lei Honghui Hu Qiaoyang Luo Dezhong Peng Xu Wang 68 12 0 10 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 76 6 0 07 Sep 2022
Data-Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks Shyam Venkatasubramanian S. Gogineni Bosung Kang Ali Pezeshki M. Rangaswamy Vahid Tarokh 85 4 0 07 Sep 2022
A Study on Representation Transfer for Few-Shot Learning Chun-Nam Yu Yi Xie SSL 49 1 0 05 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 90 0 0 03 Sep 2022
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection Chen Sun Liang Gao Xinyu Li Yiping Gao CLL 44 5 0 01 Sep 2022
Super-model ecosystem: A domain-adaptation perspective Fengxiang He Dacheng Tao DiffM 84 1 0 30 Aug 2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective Jiangmeng Li Yanan Zhang Jingyao Wang Hui Xiong Chengbo Jiao Xiaohui Hu Changwen Zheng Gang Hua CML 110 30 0 26 Aug 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 116 46 0 26 Aug 2022
A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS) Wen Yang Rui Wang Yanchao Zhang 39 0 0 24 Aug 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 101 52 0 23 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-Man Cheung BDL 65 13 0 23 Aug 2022
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks Weide Liu Chi Zhang Guosheng Lin Fayao Liu ISeg SSeg 79 28 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 112 17 0 22 Aug 2022
Reference-Limited Compositional Zero-Shot Learning Siteng Huang Qiyao Wei Donglin Wang CoGe 75 4 0 22 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning Jianpeng Yang Yuhang Niu Xuemei Xie G. Shi 58 1 0 20 Aug 2022