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1711.06025
Cited By
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
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Papers citing
"Learning to Compare: Relation Network for Few-Shot Learning"
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Title
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang
C. Biffi
Chia-Ju Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
22
205
0
20 Jul 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Jiaxi Wu
Songtao Liu
Di Huang
Yunhong Wang
ObjD
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282
0
18 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
34
3
0
17 Jul 2020
Adaptive Task Sampling for Meta-Learning
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Anton van den Hengel
S. Hoi
25
54
0
17 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
39
67
0
16 Jul 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Yingjun Du
Jun Xu
Huan Xiong
Qiang Qiu
Xiantong Zhen
Cees G. M. Snoek
Ling Shao
BDL
OOD
30
163
0
15 Jul 2020
Concept Learners for Few-Shot Learning
Kaidi Cao
Maria Brbic
J. Leskovec
VLM
OffRL
27
4
0
14 Jul 2020
Invertible Zero-Shot Recognition Flows
Yuming Shen
Jie Qin
Lei Huang
BDL
AI4CE
19
100
0
09 Jul 2020
On Learning Semantic Representations for Million-Scale Free-Hand Sketches
Peng-Tao Xu
Yongye Huang
Tongtong Yuan
Tao Xiang
Timothy M. Hospedales
Yi-Zhe Song
Liang Wang
SSL
27
4
0
07 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu
Tianyu Gao
Louis-Pascal Xhonneux
Jian Tang
BDL
21
106
0
05 Jul 2020
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation
B. Yan
Dong Wang
Huchuan Lu
Xiaoyun Yang
28
172
0
04 Jul 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding
Jianling Wang
Jundong Li
Kai Shu
Chenghao Liu
Huan Liu
17
156
0
23 Jun 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
29
3
0
23 Jun 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Shivangi Aneja
Matthias Nießner
21
42
0
21 Jun 2020
Extensively Matching for Few-shot Learning Event Detection
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
24
60
0
17 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
F. Khan
M. Shah
SSL
31
91
0
17 Jun 2020
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
39
161
0
14 Jun 2020
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
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
27
34
0
11 Jun 2020
Smooth Proxy-Anchor Loss for Noisy Metric Learning
Carlos Roig
David Varas
Issey Masuda
J. C. Riveiro
Elisenda Bou
NoLa
11
3
0
09 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
19
192
0
28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDL
EDL
28
89
0
27 May 2020
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-Chia Huang
Winston H. Hsu
21
14
0
19 May 2020
Memory-Augmented Relation Network for Few-Shot Learning
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Zhengjun Zha
Meng Wang
19
47
0
09 May 2020
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Gong Cheng
Xingxing Xie
Junwei Han
Lei Guo
Guisong Xia
VLM
38
619
0
03 May 2020
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng
Sathya Ravi
Vikas Singh
23
5
0
30 Apr 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
23
28
0
29 Apr 2020
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
30
403
0
23 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
Wei-wei Zhu
Haofu Liao
Wenbin Li
Weijian Li
Jiebo Luo
37
17
0
21 Apr 2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
Hancheng Zhu
Leida Li
Jinjian Wu
W. Dong
Guangming Shi
46
274
0
11 Apr 2020
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
49
1,928
0
11 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
12
39
0
01 Apr 2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan
Jin-Gang Yu
Zhihao Liang
Jiarong Ou
Changxin Gao
Guisong Xia
Yuanqing Li
29
69
0
31 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
31
20
0
29 Mar 2020
One-Shot GAN Generated Fake Face Detection
Hadi Mansourifar
W. Shi
CVBM
14
10
0
27 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu
Yue Cao
Yutong Lin
Qi Li
Zheng-Wei Zhang
Mingsheng Long
Han Hu
29
317
0
26 Mar 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation
Weide Liu
Chi Zhang
Guosheng Lin
Fayao Liu
SSeg
152
192
0
24 Mar 2020
Few-Shot Learning with Geometric Constraints
Hong G Jung
Seong-Whan Lee
23
49
0
20 Mar 2020
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
Ya Lu
Thomai Stathopoulou
Maria F. Vasiloglou
Stergios Christodoulidis
Z. Stanga
S. Mougiakakou
3DH
14
46
0
18 Mar 2020
Learning Meta Face Recognition in Unseen Domains
Jianzhu Guo
Xiangyu Zhu
Chenxu Zhao
Dong Cao
Zhen Lei
Stan Z. Li
CVBM
OOD
22
142
0
17 Mar 2020
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
F. Khan
V. Balasubramanian
ObjD
CLL
VLM
177
98
0
17 Mar 2020
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments
I. Vélez
C. Rascón
Gibran Fuentes Pineda
19
10
0
06 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
BDL
39
7
0
05 Mar 2020
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification
Sion An
Soopil Kim
Philip Chikontwe
Sang Hyun Park
6
42
0
03 Mar 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Jae Woong Soh
Sunwoo Cho
N. Cho
SupR
25
283
0
27 Feb 2020
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Peng-Tao Xu
Kun Liu
Tao Xiang
Timothy M. Hospedales
Zhanyu Ma
Jun Guo
Yi-Zhe Song
24
32
0
21 Feb 2020
Exploiting the Matching Information in the Support Set for Few Shot Event Classification
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
15
40
0
13 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
11
12
0
06 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Mahesh Kumar Krishna Reddy
M. Hossain
Mrigank Rochan
Yang Wang
20
40
0
01 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
32
386
0
23 Jan 2020
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