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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
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
A. Ayyad
Yuchen Li
Nassir Navab
Shadi Albarqouni
Mohamed Elhoseiny
38
7
0
06 Mar 2019
Induction Networks for Few-Shot Text Classification
Induction Networks for Few-Shot Text Classification
Ruiying Geng
Binhua Li
Yongbin Li
Xiao-Dan Zhu
Ping Jian
Jian Sun
104
186
0
27 Feb 2019
Adaptive Cross-Modal Few-Shot Learning
Adaptive Cross-Modal Few-Shot Learning
Chen Xing
Negar Rostamzadeh
Boris N. Oreshkin
Pedro H. O. Pinheiro
148
275
0
19 Feb 2019
Meta-Curvature
Meta-Curvature
Eunbyung Park
Junier B. Oliva
BDL
78
124
0
09 Feb 2019
Feature-Critic Networks for Heterogeneous Domain Generalization
Feature-Critic Networks for Heterogeneous Domain Generalization
Yiying Li
Yongxin Yang
Wei Zhou
Timothy M. Hospedales
OOD
103
255
0
31 Jan 2019
Learning Classifiers for Domain Adaptation, Zero and Few-Shot
  Recognition Based on Learning Latent Semantic Parts
Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts
Pengkai Zhu
Hanxiao Wang
Venkatesh Saligrama
VLM
70
10
0
25 Jan 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Björn Barz
Joachim Denzler
84
132
0
25 Jan 2019
Sequential Skip Prediction with Few-shot in Streamed Music Contents
Sequential Skip Prediction with Few-shot in Streamed Music Contents
Sungkyun Chang
Seungjin Lee
Kyogu Lee
AI4TS
23
8
0
24 Jan 2019
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
Yuval Atzmon
Gal Chechik
68
4
0
24 Dec 2018
Learning Compositional Representations for Few-Shot Recognition
Learning Compositional Representations for Few-Shot Recognition
P. Tokmakov
Yu-Xiong Wang
M. Hebert
OCL
89
126
0
21 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
95
32
0
18 Dec 2018
Face-Focused Cross-Stream Network for Deception Detection in Videos
Face-Focused Cross-Stream Network for Deception Detection in Videos
Mingyu Ding
An Zhao
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
CVBM
123
53
0
11 Dec 2018
Zero-Shot Learning with Sparse Attribute Propagation
Zero-Shot Learning with Sparse Attribute Propagation
Nanyi Fei
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
VLM
33
0
0
11 Dec 2018
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning
Yunxiao Qin
Weiguo Zhang
Chenxu Zhao
Zezheng Wang
Xiangyu Zhu
Guojun Qi
Jingping Shi
Zhen Lei
71
24
0
11 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
142
670
0
10 Dec 2018
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery
  Detection
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
D. Cozzolino
Justus Thies
Andreas Rossler
Christian Riess
Matthias Nießner
L. Verdoliva
AAML
94
270
0
06 Dec 2018
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
227
1,074
0
06 Dec 2018
Few-shot Object Detection via Feature Reweighting
Few-shot Object Detection via Feature Reweighting
Bingyi Kang
Zhuang Liu
Xin Wang
Feng Yu
Jiashi Feng
Trevor Darrell
ObjDOffRL
107
701
0
05 Dec 2018
Learning to match transient sound events using attentional similarity
  for few-shot sound recognition
Learning to match transient sound events using attentional similarity for few-shot sound recognition
Szu-Yu Chou
Kai-Hsiang Cheng
J. Jang
Yi-Hsuan Yang
104
59
0
04 Dec 2018
Cross-Modulation Networks for Few-Shot Learning
Cross-Modulation Networks for Few-Shot Learning
Hugo Prol
Vincent Dumoulin
Luis Herranz
71
15
0
01 Dec 2018
One-Shot Instance Segmentation
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
109
89
0
28 Nov 2018
Bi-Adversarial Auto-Encoder for Zero-Shot Learning
Bi-Adversarial Auto-Encoder for Zero-Shot Learning
YunLong Yu
Zhong Ji
Yanwei Pang
Jichang Guo
Zhongfei Zhang
Leilei Gan
GAN
46
3
0
20 Nov 2018
Representation based and Attention augmented Meta learning
Representation based and Attention augmented Meta learning
Yunxiao Qin
Chenxu Zhao
Zezheng Wang
Junliang Xing
Jun Wan
Zhen Lei
25
1
0
19 Nov 2018
RelationNet2: Deep Comparison Columns for Few-Shot Learning
RelationNet2: Deep Comparison Columns for Few-Shot Learning
Xueting Zhang
Yuting Qiang
Flood Sung
Yongxin Yang
Timothy M. Hospedales
58
18
0
17 Nov 2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning
Generative Dual Adversarial Network for Generalized Zero-shot Learning
He Huang
Chang-Dong Wang
Philip S. Yu
Chang-Dong Wang
GAN
114
222
0
12 Nov 2018
Power Normalizing Second-order Similarity Network for Few-shot Learning
Power Normalizing Second-order Similarity Network for Few-shot Learning
Hongguang Zhang
Piotr Koniusz
75
59
0
10 Nov 2018
Few-shot learning with attention-based sequence-to-sequence models
Few-shot learning with attention-based sequence-to-sequence models
Bertrand Higy
P. Bell
53
6
0
08 Nov 2018
Class-Agnostic Counting
Class-Agnostic Counting
Erika Lu
Weidi Xie
Andrew Zisserman
82
151
0
01 Nov 2018
Low-shot Learning via Covariance-Preserving Adversarial Augmentation
  Networks
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao
Zheng Shou
Alireza Zareian
Hanwang Zhang
Shih-Fu Chang
GAN
93
137
0
27 Oct 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and
  Competitive Learning
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning
Zhiwu Lu
Jiechao Guan
Aoxue Li
Tao Xiang
An Zhao
Ji-Rong Wen
73
64
0
19 Oct 2018
Transferrable Feature and Projection Learning with Class Hierarchy for
  Zero-Shot Learning
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning
Aoxue Li
Zhiwu Lu
Jiechao Guan
Tao Xiang
Liwei Wang
Ji-Rong Wen
VLM
60
20
0
19 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren
Renjie Liao
Ethan Fetaya
R. Zemel
CLL
108
181
0
16 Oct 2018
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps
  Detection in the Limited Data Scenario
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario
Yixiong Liang
Zhihong Tang
Meng Yan
Jialin Chen
Qing Liu
Yao Xiang
128
11
0
14 Oct 2018
Fast Context Adaptation via Meta-Learning
Fast Context Adaptation via Meta-Learning
L. Zintgraf
K. Shiarlis
Vitaly Kurin
Katja Hofmann
Shimon Whiteson
88
37
0
08 Oct 2018
One-Click Annotation with Guided Hierarchical Object Detection
One-Click Annotation with Guided Hierarchical Object Detection
Adithya Subramanian
A. Subramanian
34
2
0
01 Oct 2018
Knowledge-guided Semantic Computing Network
Knowledge-guided Semantic Computing Network
Guangming Shi
Zhongqiang Zhang
Dahua Gao
Xuemei Xie
Yihao Feng
Xinrui Ma
Danhua Liu
39
10
0
29 Sep 2018
Towards Effective Deep Embedding for Zero-Shot Learning
Towards Effective Deep Embedding for Zero-Shot Learning
Lei Zhang
Peng Wang
Lingqiao Liu
Chunhua Shen
Wei Wei
Yanning Zhang
Anton Van Den Hengel
VLM
75
72
0
30 Aug 2018
Learning to Support: Exploiting Structure Information in Support Sets
  for One-Shot Learning
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Jinchao Liu
S. Gibson
Margarita Osadchy
54
8
0
22 Aug 2018
Improving Generalization via Scalable Neighborhood Component Analysis
Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu
Alexei A. Efros
Stella X. Yu
BDL
60
146
0
14 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
98
72
0
14 Aug 2018
Comparator Networks
Comparator Networks
Weidi Xie
Li Shen
Andrew Zisserman
CoGe
88
76
0
30 Jul 2018
Multicolumn Networks for Face Recognition
Multicolumn Networks for Face Recognition
Weidi Xie
Andrew Zisserman
CVBM
57
87
0
24 Jul 2018
Deep Transfer Learning for Cross-domain Activity Recognition
Deep Transfer Learning for Cross-domain Activity Recognition
Jindong Wang
V. Zheng
Yiqiang Chen
Meiyu Huang
HAI
95
130
0
20 Jul 2018
Meta-Learning with Latent Embedding Optimization
Meta-Learning with Latent Embedding Optimization
Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
R. Hadsell
154
1,374
0
16 Jul 2018
Large Margin Few-Shot Learning
Large Margin Few-Shot Learning
Yong Wang
Xiao-Ming Wu
Qimai Li
Jiatao Gu
Wangmeng Xiang
Lei Zhang
Victor O.K. Li
MQ
90
29
0
08 Jul 2018
Cross-position Activity Recognition with Stratified Transfer Learning
Cross-position Activity Recognition with Stratified Transfer Learning
Yiqiang Chen
Jindong Wang
Meiyu Huang
Han Yu
79
74
0
26 Jun 2018
Global Semantic Consistency for Zero-Shot Learning
Global Semantic Consistency for Zero-Shot Learning
Fan Wu
Kai Tian
Jihong Guan
Shuigeng Zhou
37
3
0
22 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
255
357
0
12 Jun 2018
Adversarial Meta-Learning
Adversarial Meta-Learning
Chengxiang Yin
Jian Tang
Zhiyuan Xu
Yanzhi Wang
93
42
0
08 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
308
674
0
07 Jun 2018
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