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Learning to Compare: Relation Network for Few-Shot Learning
v1v2 (latest)

Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
ArXiv (abs)PDFHTML

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

50 / 1,567 papers shown
Title
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
57
3
0
23 Jun 2020
Meta Learning for Support Recovery in High-dimensional Precision Matrix
  Estimation
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang
Yilin Zheng
Jean Honorio
87
7
0
22 Jun 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Shivangi Aneja
Matthias Nießner
61
43
0
21 Jun 2020
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Ivan Skorokhodov
Mohamed Elhoseiny
VLM
66
5
0
19 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs
Zero-Shot Learning with Common Sense Knowledge Graphs
Nihal V. Nayak
Stephen H. Bach
VLM
123
37
0
18 Jun 2020
Extensively Matching for Few-shot Learning Event Detection
Extensively Matching for Few-shot Learning Event Detection
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
95
60
0
17 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning
Self-supervised Knowledge Distillation for Few-shot Learning
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
SSL
96
93
0
17 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples
Enhancing Few-Shot Image Classification with Unlabelled Examples
Peyman Bateni
Jarred Barber
Jan-Willem van de Meent
Frank Wood
VLMSSL
132
57
0
17 Jun 2020
Channel Relationship Prediction with Forget-Update Module for Few-shot
  Classification
Channel Relationship Prediction with Forget-Update Module for Few-shot Classification
Minglei Yuan
Cunhao Cai
Tong Lu
ViT
14
0
0
16 Jun 2020
LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant
  Analysis for Few-shot Learning
LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant Analysis for Few-shot Learning
K. Mukaiyama
Issei Sato
Masashi Sugiyama
24
2
0
15 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
117
166
0
14 Jun 2020
Learning-to-Learn Personalised Human Activity Recognition Models
Learning-to-Learn Personalised Human Activity Recognition Models
A. Wijekoon
Nirmalie Wiratunga
HAI
55
4
0
12 Jun 2020
Backdoor Attacks on Federated Meta-Learning
Backdoor Attacks on Federated Meta-Learning
Chien-Lun Chen
L. Golubchik
Marco Paolieri
FedML
68
32
0
12 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
69
110
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
72
34
0
11 Jun 2020
Self-Supervised Relational Reasoning for Representation Learning
Self-Supervised Relational Reasoning for Representation Learning
Massimiliano Patacchiola
Amos Storkey
OODSSL
78
63
0
10 Jun 2020
Unique Faces Recognition in Videos
Unique Faces Recognition in Videos
Jiahao Huo
Terence L van Zyl
CVBM
35
7
0
10 Jun 2020
Few-shot Slot Tagging with Collapsed Dependency Transfer and
  Label-enhanced Task-adaptive Projection Network
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
Yutai Hou
Wanxiang Che
Y. Lai
Zhihan Zhou
Yijia Liu
Han Liu
Ting Liu
59
194
0
10 Jun 2020
Smooth Proxy-Anchor Loss for Noisy Metric Learning
Smooth Proxy-Anchor Loss for Noisy Metric Learning
Carlos Roig
David Varas
Issey Masuda
J. C. Riveiro
Elisenda Bou
NoLa
31
3
0
09 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim
Junyoung Park
Yongseok Choi
75
1
0
08 Jun 2020
Towards Context-Agnostic Learning Using Synthetic Data
Towards Context-Agnostic Learning Using Synthetic Data
Charles Jin
Martin Rinard
OOD
113
1
0
29 May 2020
High-order structure preserving graph neural network for few-shot
  learning
High-order structure preserving graph neural network for few-shot learning
Guangfeng Lin
Ying Yang
Y. Fan
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
68
1
0
29 May 2020
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill
  Identification
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
Naoto Usuyama
N. Larios
Amanda K. Hall
Jessica Lundin
50
7
0
28 May 2020
Improving Generalized Zero-Shot Learning by Semantic Discriminator
Improving Generalized Zero-Shot Learning by Semantic Discriminator
Xinpeng Li
VLM
48
1
0
28 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
119
194
0
28 May 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image
  Categorization with Few Labeled Samples
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
Chang Xu
81
57
0
28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDLEDL
68
93
0
27 May 2020
Looking back to lower-level information in few-shot learning
Looking back to lower-level information in few-shot learning
Zhongjie Yu
S. Raschka
48
5
0
27 May 2020
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing
  Label Features from Multi-Modal Embeddings
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings
Pratik Mazumder
Pravendra Singh
Kranti K. Parida
Vinay P. Namboodiri
79
35
0
27 May 2020
ALBA : Reinforcement Learning for Video Object Segmentation
ALBA : Reinforcement Learning for Video Object Segmentation
Shreyank N. Gowda
Panagiotis Eustratiadis
Timothy M. Hospedales
Laura Sevilla-Lara
VOS
50
10
0
26 May 2020
A Concise Review of Recent Few-shot Meta-learning Methods
A Concise Review of Recent Few-shot Meta-learning Methods
Xiaoxu Li
Z. Sun
Jing-Hao Xue
Zhanyu Ma
VLMOffRL
113
133
0
22 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping Huang
Winston H. Hsu
75
14
0
19 May 2020
MOTS: Multiple Object Tracking for General Categories Based On Few-Shot
  Method
MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method
Xixi Xu
Chao Lu
Liang Zhu
Xiangyang Xue
Guanxian Chen
Qi Guo
Yining Lin
Zhijian Zhao
VOT
59
1
0
19 May 2020
A Biologically Inspired Feature Enhancement Framework for Zero-Shot
  Learning
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning
Zhongwu Xie
Weipeng Cao
Xizhao Wang
Zhong Ming
Jingjing Zhang
Jiyong Zhang
VLM
27
4
0
13 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and
  Enhancing
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing
Yixiong Zou
Shanghang Zhang
Ke Chen
Yonghong Tian
Yaowei Wang
J. M. F. Moura
49
27
0
12 May 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification
Dynamic Memory Induction Networks for Few-Shot Text Classification
Ruiying Geng
Binhua Li
Yongbin Li
Jian Sun
Xiao-Dan Zhu
56
79
0
12 May 2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and
  Sonar Image Classification
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Mateusz Ochal
Jose Vazquez
Y. Pétillot
Sen Wang
73
26
0
10 May 2020
Generative Model-driven Structure Aligning Discriminative Embeddings for
  Transductive Zero-shot Learning
Generative Model-driven Structure Aligning Discriminative Embeddings for Transductive Zero-shot Learning
Omkar Gune
Mainak Pal
Preeti Mukherjee
Biplab Banerjee
S. Chaudhuri
VLM
32
4
0
09 May 2020
Memory-Augmented Relation Network for Few-Shot Learning
Memory-Augmented Relation Network for Few-Shot Learning
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Zhengjun Zha
Meng Wang
96
50
0
09 May 2020
One-Shot Object Detection without Fine-Tuning
One-Shot Object Detection without Fine-Tuning
Xiang Li
Lin Zhang
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
ObjDVLM
71
28
0
08 May 2020
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement
  Imaginations Based on Few-Shot EEG Learning
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning
Kyung-Hwan Shim
Ji-Hoon Jeong
Seong-Whan Lee
10
3
0
06 May 2020
One-Shot Image Classification by Learning to Restore Prototypes
One-Shot Image Classification by Learning to Restore Prototypes
Wanqi Xue
Wei Wang
VLM
88
52
0
04 May 2020
Remote Sensing Image Scene Classification Meets Deep Learning:
  Challenges, Methods, Benchmarks, and Opportunities
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Gong Cheng
Xingxing Xie
Junwei Han
Lei Guo
Guisong Xia
VLM
133
641
0
03 May 2020
A Novel Perspective to Zero-shot Learning: Towards an Alignment of
  Manifold Structures via Semantic Feature Expansion
A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
Jingcai Guo
Song Guo
64
50
0
30 Apr 2020
Physarum Powered Differentiable Linear Programming Layers and
  Applications
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng
Sathya Ravi
Vikas Singh
83
5
0
30 Apr 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense
  Disambiguation
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
88
28
0
29 Apr 2020
Deflating Dataset Bias Using Synthetic Data Augmentation
Deflating Dataset Bias Using Synthetic Data Augmentation
Nikita Jaipuria
Xianling Zhang
Rohan Bhasin
Mayar Arafa
Punarjay Chakravarty
Shubham Shrivastava
Sagar Manglani
Vidya N. Murali
56
65
0
28 Apr 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
S. Hu
Pablo G. Moreno
Yanghua Xiao
Xin Shen
G. Obozinski
Neil D. Lawrence
Andreas C. Damianou
BDL
94
125
0
27 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
104
417
0
23 Apr 2020
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition
Rami Ben-Ari
Mor Shpigel
Ophir Azulai
Udi Barzelay
Daniel Rotman
ViT
72
25
0
21 Apr 2020
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