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Learning to Compare: Relation Network for Few-Shot Learning

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
ArXivPDFHTML

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

50 / 1,180 papers shown
Title
Optimized Generic Feature Learning for Few-shot Classification across
  Domains
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
24
48
0
22 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and
  Unsupervised Few-shot Learning
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Hongguang Zhang
Piotr Koniusz
Songlei Jian
Hongdong Li
Philip Torr
SSL
34
59
0
12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention
Few-shot Action Recognition with Permutation-invariant Attention
Hongguang Zhang
Li Zhang
Xiaojuan Qi
Hongdong Li
Philip Torr
Piotr Koniusz
19
3
0
12 Jan 2020
Non-Parametric Learning of Lifted Restricted Boltzmann Machines
Non-Parametric Learning of Lifted Restricted Boltzmann Machines
Navdeep Kaur
Gautam Kunapuli
Sriraam Natarajan
16
4
0
09 Jan 2020
Diversity Transfer Network for Few-Shot Learning
Diversity Transfer Network for Few-Shot Learning
Mengting Chen
Yuxin Fang
Xinggang Wang
Heng Luo
Yifeng Geng
Xinyu Zhang
Chang Huang
Wenyu Liu
Bo Wang
15
69
0
31 Dec 2019
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
94
1,183
0
24 Dec 2019
Measuring Dataset Granularity
Measuring Dataset Granularity
Huayu Chen
Zeqi Gu
D. Mahajan
L. V. D. van der Maaten
Serge J. Belongie
Ser-Nam Lim
29
13
0
21 Dec 2019
Locality and compositionality in zero-shot learning
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
21
56
0
20 Dec 2019
One-Shot Object Detection with Co-Attention and Co-Excitation
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh
Yi-Chen Lo
Hwann-Tzong Chen
Tyng-Luh Liu
ObjD
24
165
0
28 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning
Learning Multi-level Weight-centric Features for Few-shot Learning
Min-Siong Liang
Shaoli Huang
Shirui Pan
Biwei Huang
Wei Liu
25
10
0
28 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Qing Guo
Siliang Tang
Haizhou Shi
Fei Wu
Yueting Zhuang
William Yang Wang
SSL
43
68
0
18 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
16
37
0
17 Nov 2019
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with
  Minimal Resources
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu
Zijia Lin
Guoxin Wang
Hui Chen
Börje F. Karlsson
Biqing Huang
Chin-Yew Lin
14
68
0
14 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification
Self-Supervised Learning For Few-Shot Image Classification
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
16
108
0
14 Nov 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
30
219
0
30 Oct 2019
Neural Similarity Learning
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
27
29
0
28 Oct 2019
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero
  and Few Shot Learning
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning
Sadaf Gull
F. Minhas
21
10
0
28 Oct 2019
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
630
0
17 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
22
168
0
08 Oct 2019
Graph Few-shot Learning via Knowledge Transfer
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao
Chuxu Zhang
Ying Wei
Meng Jiang
Suhang Wang
Junzhou Huang
Nitesh V. Chawla
Z. Li
45
162
0
07 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
14
98
0
07 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Limeng Qiao
Yemin Shi
Jia Li
Yaowei Wang
Tiejun Huang
Yonghong Tian
24
182
0
05 Oct 2019
Revisiting Fine-tuning for Few-shot Learning
Revisiting Fine-tuning for Few-shot Learning
Akihiro Nakamura
Tatsuya Harada
32
52
0
01 Oct 2019
Feature Weighting and Boosting for Few-Shot Segmentation
Feature Weighting and Boosting for Few-Shot Segmentation
Khoi Duc Minh Nguyen
S. Todorovic
35
328
0
28 Sep 2019
Meta-Neighborhoods
Meta-Neighborhoods
Siyuan Shan
Yang Li
Junier Oliva
27
13
0
18 Sep 2019
Metric-Based Few-Shot Learning for Video Action Recognition
Metric-Based Few-Shot Learning for Video Action Recognition
Chris Careaga
Brian Hutchinson
Nathan Oken Hodas
Lawrence Phillips
14
22
0
14 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu
Yuwei Li
Lihua Guo
Kui Jia
29
86
0
10 Sep 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms,
  Applications and Promises
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
F. Mohammadi
M. Amini
H. Arabnia
OffRL
26
22
0
26 Aug 2019
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot
  Classification
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification
Zhong Ji
Xuejie Yu
Yunlong Yu
Yanwei Pang
Zhongfei Zhang
VLM
22
2
0
26 Aug 2019
Transferable Contrastive Network for Generalized Zero-Shot Learning
Transferable Contrastive Network for Generalized Zero-Shot Learning
Huajie Jiang
Ruiping Wang
Shiguang Shan
Xilin Chen
VLM
16
174
0
16 Aug 2019
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class Representations
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
18
114
0
14 Aug 2019
Meta Reasoning over Knowledge Graphs
Meta Reasoning over Knowledge Graphs
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
ReLM
LRM
40
8
0
13 Aug 2019
Dolphin: A Spoken Language Proficiency Assessment System for Elementary
  Education
Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education
Wenbiao Ding
Guowei Xu
Tianqiao Liu
Weiping Fu
Y. Song
Chaoyou Guo
Cong Kong
Songfan Yang
Gale Yan Huang
Zitao Liu
15
21
0
01 Aug 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OOD
BDL
UQCV
19
54
0
27 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot
  Action Recognition
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
M. Bishay
Georgios Zoumpourlis
Ioannis Patras
ViT
27
155
0
21 Jul 2019
How much real data do we actually need: Analyzing object detection
  performance using synthetic and real data
How much real data do we actually need: Analyzing object detection performance using synthetic and real data
F. Nowruzi
Prince Kapoor
Dhanvin Kolhatkar
Fahed Al Hassanat
R. Laganière
Julien Rebut
36
76
0
16 Jul 2019
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot
  Learning
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
Jiancheng Ni
Shanghang Zhang
Haiyong Xie
GAN
15
76
0
12 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
19
93
0
06 Jul 2019
Frame attention networks for facial expression recognition in videos
Frame attention networks for facial expression recognition in videos
Debin Meng
Xiaojiang Peng
Kai Wang
Yu Qiao
CVBM
11
169
0
29 Jun 2019
Few-Shot Video Classification via Temporal Alignment
Few-Shot Video Classification via Temporal Alignment
Kaidi Cao
Jingwei Ji
Zhangjie Cao
C. Chang
Juan Carlos Niebles
AI4TS
21
235
0
27 Jun 2019
The Functional Neural Process
The Functional Neural Process
Christos Louizos
Xiahan Shi
Klamer Schutte
Max Welling
BDL
38
77
0
19 Jun 2019
Learning to Forget for Meta-Learning
Learning to Forget for Meta-Learning
Sungyong Baik
Seokil Hong
Kyoung Mu Lee
CLL
KELM
19
87
0
13 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
22
400
0
12 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning
Progressive Cluster Purification for Transductive Few-shot Learning
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
Tieniu Tan
VLM
30
1
0
10 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
22
59
0
07 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification
Regression Networks for Meta-Learning Few-Shot Classification
A. Devos
Matthias Grossglauser
22
12
0
31 May 2019
Adaptive Deep Kernel Learning
Adaptive Deep Kernel Learning
Prudencio Tossou
Basile Dura
François Laviolette
M. Marchand
Alexandre Lacoste
24
29
0
28 May 2019
Image Deformation Meta-Networks for One-Shot Learning
Image Deformation Meta-Networks for One-Shot Learning
Z. Chen
Yanwei Fu
Yu-xiong Wang
Lin Ma
Wei Liu
M. Hebert
15
217
0
28 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
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
32
98
0
15 May 2019
Deep Zero-Shot Learning for Scene Sketch
Deep Zero-Shot Learning for Scene Sketch
Yao Xie
Peng-Tao Xu
Zhanyu Ma
VLM
19
12
0
11 May 2019
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