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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
Hyperspherical embedding for novel class classification R. S. Pereira Alexis Joly P. Valduriez Fábio Porto 16 2 0 05 Feb 2021
Isometric Propagation Network for Generalized Zero-shot Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Xuanyi Dong Chengqi Zhang 75 36 0 03 Feb 2021
Few-shot Image Classification with Multi-Facet Prototypes Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 43 4 0 01 Feb 2021
Semantic Borrowing for Generalized Zero-Shot Learning Xiao-wei Chen 37 1 0 30 Jan 2021
Few-Shot Learning for Road Object Detection Anay Majee Kshitij Agrawal A. Subramanian 117 21 0 29 Jan 2021
A Neural Few-Shot Text Classification Reality Check Thomas Dopierre Christophe Gravier Wilfried Logerais VLM 61 19 0 28 Jan 2021
CORL: Compositional Representation Learning for Few-Shot Classification Ju He Adam Kortylewski Alan Yuille OCL 61 10 0 28 Jan 2021
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification Manoj Kumar Varun Kumar Hadrien Glaude Cyprien delichy Aman Alok Rahul Gupta VLM 80 18 0 28 Jan 2021
Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition Pranay Gupta Divyanshu Sharma Ravi Kiran Sarvadevabhatla 65 19 0 27 Jan 2021
Combat Data Shift in Few-shot Learning with Knowledge Graph Yongchun Zhu Fuzhen Zhuang Xiangliang Zhang Zhiyuan Qi Zhiping Shi Juan Cao Qing He OOD 66 4 0 27 Jan 2021
Edge-Labeling based Directed Gated Graph Network for Few-shot Learning Peixiao Zheng Xin Guo Lin Qi 39 1 0 27 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 93 12 0 26 Jan 2021
A Survey on Active Deep Learning: From Model-driven to Data-driven Peng Liu Lizhe Wang Guojin He Lei Zhao 73 14 0 25 Jan 2021
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning Yurong Guo Zhanyu Ma Xiaoxu Li Yuan Dong 60 4 0 25 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 39 5 0 24 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 104 37 0 23 Jan 2021
Image-to-Image Translation: Methods and Applications Yingxue Pang Jianxin Lin Tao Qin Zhibo Chen VLM 109 267 0 21 Jan 2021
Progressive Co-Attention Network for Fine-grained Visual Classification Tian Zhang Dongliang Chang Zhanyu Ma Jun Guo 97 42 0 21 Jan 2021
Few-shot Action Recognition with Prototype-centered Attentive Learning Xiatian Zhu Antoine Toisoul Juan-Manuel Prez-Ra Li Zhang Brais Martínez Tao Xiang 91 53 0 20 Jan 2021
Semantics Disentangling for Generalized Zero-Shot Learning Zhi Chen Yadan Luo Ruihong Qiu Sen Wang Zi Huang Jingjing Li Zheng Zhang 147 101 0 20 Jan 2021
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias Stefan Stojanov Anh Thai James M. Rehg 3DPC 71 45 0 18 Jan 2021
Machine learning with limited data Fupin Yao VLM 57 8 0 18 Jan 2021
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition Mengting Chen Xinggang Wang Heng Luo Yifeng Geng Wenyu Liu ObjD 176 10 0 13 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 107 72 0 08 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 109 37 0 07 Jan 2021
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition Anugunj Naman Chetan Sinha Liliana Mancini 52 12 0 05 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier Arkabandhu Chowdhury Mingchao Jiang Swarat Chaudhuri C. Jermaine VLM 104 42 0 03 Jan 2021
MM-FSOD: Meta and metric integrated few-shot object detection Yuewen Li W. Feng Shuchang Lyu Qi Zhao Xuliang Li ObjD 140 12 0 30 Dec 2020
Few-Shot Named Entity Recognition: A Comprehensive Study Jiaxin Huang Chunyuan Li K. Subudhi Damien Jose S. Balakrishnan Weizhu Chen Baolin Peng Jianfeng Gao Jiawei Han 82 80 0 29 Dec 2020
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation Xiaoyu Chen Chi Zhang Guosheng Lin Jing Han 3DPC 71 16 0 28 Dec 2020
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Piotr Koniusz Hongguang Zhang 91 56 0 27 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 59 50 0 26 Dec 2020
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 36 3 0 26 Dec 2020
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 111 20 0 24 Dec 2020
Progressive One-shot Human Parsing Haoyu He Jing Zhang B. Thuraisingham Dacheng Tao VLM 48 17 0 22 Dec 2020
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning A. Sagel Amit Sahu Stefan Matthes H. Pfeifer Tianming Qiu Harald Ruess Hao Shen Julian Wormann 50 3 0 21 Dec 2020
Domain-adaptive Fall Detection Using Deep Adversarial Training Kai-Chun Liu Michael Chan Heng-Cheng Kuo Chia-Yeh Hsieh Hsiang-Yun Huang Chia-Tai Chan Yu Tsao 73 9 0 20 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 95 26 0 20 Dec 2020
SMART Frame Selection for Action Recognition Shreyank N. Gowda Marcus Rohrbach Laura Sevilla-Lara 71 148 0 19 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains Massimiliano Mancini OOD 118 0 0 16 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 172 62 0 14 Dec 2020
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks Reza Esfandiarpoor Amy Pu M. Hajabdollahi Stephen H. Bach CLL 26 7 0 13 Dec 2020
Improving Zero Shot Learning Baselines with Commonsense Knowledge Abhinaba Roy Deepanway Ghosal Min Zhang Navonil Majumder Rada Mihalcea Soujanya Poria BDL VLM 67 29 0 11 Dec 2020
Are Fewer Labels Possible for Few-shot Learning? Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lefei Zhang Qi Chu Nenghai Yu SSL 63 3 0 10 Dec 2020
Detection of Adversarial Supports in Few-shot Classifiers Using Self-Similarity and Filtering Y. Tan Penny Chong Jiamei Sun Ngai-Man Cheung Yuval Elovici Alexander Binder 33 1 0 09 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 105 54 0 07 Dec 2020
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field Xin Cong Shiyao Cui Yu Bowen Tingwen Liu Yubin Wang Bin Wang 75 51 0 04 Dec 2020
SAFCAR: Structured Attention Fusion for Compositional Action Recognition Tae Soo Kim Gregory Hager CoGe 67 10 0 03 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning J. Cai B. Cai S. Shen 37 7 0 03 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 106 28 0 03 Dec 2020