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
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Prashant Pandey Aleti Vardhan Mustafa Chasmai Tanuj Sur Brejesh Lall AAML 27 9 0 07 Oct 2022
Hypernetwork approach to Bayesian MAML Piotr Borycki Piotr Kubacki Marcin Przewiȩźlikowski Tomasz Kuśmierczyk Jacek Tabor Przemysław Spurek BDL 19 2 0 06 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 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 32 6 0 05 Oct 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators Abhra Chaudhuri Massimiliano Mancini Zeynep Akata Anjan Dutta 23 4 0 05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 35 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 57 75 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 22 16 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 29 6 0 01 Oct 2022
Revisiting Few-Shot Learning from a Causal Perspective Guoliang Lin Yongheng Xu Hanjiang Lai Jian Yin CML 32 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 62 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 30 28 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 21 23 0 21 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 37 1 0 20 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 35 15 0 18 Sep 2022
Few-Shot Classification with Contrastive Learning Zhanyuan Yang Jinghua Wang Ying J. Zhu OODD MQ 55 55 0 17 Sep 2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner Mengting Hu H. Gao Yinhao Bai Mingming Liu 8 0 0 14 Sep 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification Tianyi Lei Honghui Hu Qiaoyang Luo Dezhong Peng Xu Wang 13 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 19 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 44 3 0 07 Sep 2022
A Study on Representation Transfer for Few-Shot Learning Chun-Nam Yu Yi Xie SSL 24 1 0 05 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 24 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 28 5 0 01 Sep 2022
Super-model ecosystem: A domain-adaptation perspective Fengxiang He Dacheng Tao DiffM 35 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 36 28 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 40 42 0 26 Aug 2022
A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS) Wen Yang Rui Wang Yanchao Zhang 30 0 0 24 Aug 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 34 47 0 23 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 23 12 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 33 27 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
Reference-Limited Compositional Zero-Shot Learning Siteng Huang Qiyao Wei Donglin Wang CoGe 37 3 0 22 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning Jianpeng Yang Yuhang Niu Xuemei Xie G. Shi 16 1 0 20 Aug 2022
Hierarchical Compositional Representations for Few-shot Action Recognition Chang-bo Li Jie Zhang Shuzhe Wu Xin Jin Shiguang Shan 30 20 0 19 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 43 18 0 17 Aug 2022
Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for Few-Shot Learning Lin Ding Peng Liu Wenfeng Shen Weijia Lu Shengbo Chen UQCV 24 3 0 17 Aug 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification Jaron Mar Jiamou Liu 35 1 0 17 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 40 4 0 17 Aug 2022
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning Dong Huk Park Jongmin Lee ObjD 31 11 0 15 Aug 2022
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes Yongqiang Mao Zonghao Guo Xiaonan Lu Zhiqiang Yuan Haowen Guo 3DPC 21 28 0 13 Aug 2022
Memorizing Complementation Network for Few-Shot Class-Incremental Learning Zhong Ji Zhi Hou Xiyao Liu Yanwei Pang Xuelong Li CLL 27 45 0 11 Aug 2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation Jing Du Zesheng Ye Lina Yao Bin Guo Zhiwen Yu AI4TS 19 12 0 09 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 30 2 0 05 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 24 60 0 04 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 38 3 0 03 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 35 1 0 29 Jul 2022
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion Gongjie Zhang Zhipeng Luo Jiaxing Huang Shijian Lu Eric P. Xing ViT 41 20 0 28 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data Tan Wang Qianru Sun Sugiri Pranata J. Karlekar Hanwang Zhang SSL 39 19 0 25 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 18 13 0 24 Jul 2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection Shuang Wu Wenjie Pei Dianwen Mei Fanglin Chen Jiandong Tian Guangming Lu VLM ObjD 39 31 0 22 Jul 2022