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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
Incremental Few-Shot Learning for Pedestrian Attribute Recognition Liuyu Xiang Xiaoming Jin Guiguang Ding Jungong Han Leida Li CLL 48 30 0 02 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification A. Devos Matthias Grossglauser 64 12 0 31 May 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang Sung Ju Hwang BDL OODD 99 107 0 30 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 98 29 0 28 May 2019
Discrete Infomax Codes for Supervised Representation Learning Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 57 4 0 28 May 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-Xiong Wang Lin Ma Wei Liu M. Hebert 78 223 0 28 May 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Hongyang Li David Eigen Samuel F. Dodge Matthew D. Zeiler Xiaogang Wang VLM 122 341 0 27 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 70 231 0 23 May 2019
One-Shot Texture Retrieval with Global Context Metric Kai Zhu Wei Zhai Zhengjun Zha Yang Cao 3DV 122 6 0 16 May 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Sung Whan Yoon Jun Seo Jaekyun Moon 79 275 0 16 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning Huaiyu Li Weiming Dong Xing Mei Chongyang Ma Feiyue Huang Bao-Gang Hu OffRL 74 98 0 15 May 2019
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems Fei Mi Minlie Huang Jiyong Zhang Boi Faltings 91 101 0 14 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 73 205 0 13 May 2019
Unified Generator-Classifier for Efficient Zero-Shot Learning Ayyappa Kumar Pambala Titir Dutta Soma Biswas 21 4 0 11 May 2019
Deep Zero-Shot Learning for Scene Sketch Yao Xie Peng Xu Zhanyu Ma VLM 56 12 0 11 May 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training Avinash Ravichandran Rahul Bhotika Stefano Soatto 81 170 0 10 May 2019
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition Kaidi Wang Xiaojiang Peng Jianfei Yang Debin Meng Yu Qiao CVBM 127 615 0 10 May 2019
Deep Closest Point: Learning Representations for Point Cloud Registration Yue Wang Justin Solomon 3DPC 72 853 0 08 May 2019
Few-Shot Unsupervised Image-to-Image Translation Ming-Yuan Liu Xun Huang Arun Mallya Tero Karras Timo Aila J. Lehtinen Jan Kautz 71 610 0 05 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 104 457 0 04 May 2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning Spyros Gidaris N. Komodakis 97 231 0 03 May 2019
Learning to Find Common Objects Across Few Image Collections Amirreza Shaban Amir M. Rahimi Shray Bansal Stephen Gould Byron Boots Leonid Sigal 38 1 0 29 Apr 2019
A Differential Approach for Gaze Estimation Gang Liu Yu Yu Kenneth Alberto Funes Mora J. Odobez 88 114 0 20 Apr 2019
Context-Aware Zero-Shot Recognition Ruotian Luo Ning Zhang Bohyung Han L. Yang 74 31 0 19 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 142 128 0 17 Apr 2019
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning Jingcai Guo Song Guo 82 19 0 12 Apr 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning Xin Wang Feng Yu Ruth Wang Trevor Darrell Joseph E. Gonzalez 83 105 0 11 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 160 1,164 0 10 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 108 1,845 0 10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings Davis Wertheimer Bharath Hariharan 66 145 0 09 Apr 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology Ke Yan Yifan Peng V. Sandfort M. Bagheri Zhiyong Lu Ronald M. Summers MedIm 73 68 0 09 Apr 2019
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking Guangting Wang Chong Luo Zhiwei Xiong Wenjun Zeng 105 194 0 09 Apr 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout Heda Song M. Torres Ender Ozcan I. Triguero 55 8 0 08 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,770 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 98 1,271 0 07 Apr 2019
Learning to Learn Relation for Important People Detection in Still Images Wei-Hong Li Fa-Ting Hong Weishi Zheng 3DPC 3DH 52 27 0 07 Apr 2019
Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Jingsong Xu 84 30 0 07 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples Hongguang Zhang Jing Zhang Piotr Koniusz 98 203 0 06 Apr 2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning Duo Wang Yu Cheng Mo Yu Xiaoxiao Guo Zhang Tao VLM 56 3 0 04 Apr 2019
Comparison Network for One-Shot Conditional Object Detection Tengfei Zhang Yue Zhang Xian Sun Hao Sun Ming Yan Xue Yang Kun Fu ObjD 145 23 0 04 Apr 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 106 296 0 03 Apr 2019
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition Jingcai Guo Song Guo VLM 66 24 0 30 Mar 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 96 494 0 28 Mar 2019
Learning from Adversarial Features for Few-Shot Classification Wei Shen Ziqiang Shi Jun Sun 41 9 0 25 Mar 2019
Visual recognition in the wild by sampling deep similarity functions Mikhail (Misha) Usvyatsov Konrad Schindler 20 0 0 15 Mar 2019
Zero Shot Learning with the Isoperimetric Loss Shay Deutsch Andrea L. Bertozzi Stefano Soatto VLM 32 5 0 15 Mar 2019
Dense Classification and Implanting for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc VLM 65 198 0 12 Mar 2019
Parallel Medical Imaging for Intelligent Medical Image Analysis: Concepts, Methods, and Applications Chao Gou Tianyu Shen Wenbo Zheng Huadan Xue Hui Yu Q. Ji Zhengyu Jin Fei-Yue Wang 21 0 0 12 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 153 620 0 07 Mar 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning Chi Zhang Guosheng Lin Fayao Liu Rui Yao Chunhua Shen VLM SSeg 72 545 0 06 Mar 2019