Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1905.11641
Cited By
v1
v2 (latest)
Image Deformation Meta-Networks for One-Shot Learning
28 May 2019
Z. Chen
Yanwei Fu
Yu-Xiong Wang
Lin Ma
Wei Liu
M. Hebert
Re-assign community
ArXiv (abs)
PDF
HTML
Github (49★)
Papers citing
"Image Deformation Meta-Networks for One-Shot Learning"
23 / 23 papers shown
Title
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
Hongyu Qu
Rui Yan
Xiangbo Shu
Haoliang Gao
Peng Huang
Guo-Sen Xie
111
4
0
03 May 2024
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao
Zheng Shou
Alireza Zareian
Hanwang Zhang
Shih-Fu Chang
GAN
71
136
0
27 Oct 2018
Ghost imaging with the human eye
A. Boccolini
A. Fedrizzi
Daniele Faccio
58
10
0
13 Aug 2018
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
241
355
0
12 Jun 2018
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
59
1,131
0
25 Apr 2018
Memory Matching Networks for One-Shot Image Recognition
Qi Cai
Yingwei Pan
Ting Yao
C. Yan
Tao Mei
VLM
60
264
0
23 Apr 2018
Multi-level Semantic Feature Augmentation for One-shot Learning
Z. Chen
Yanwei Fu
Yinda Zhang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
76
235
0
15 Apr 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
72
1,284
0
02 Mar 2018
Deep Meta-Learning: Learning to Learn in the Concept Space
Fengwei Zhou
Bin Wu
Zhenguo Li
SSL
59
123
0
10 Feb 2018
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
108
677
0
16 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
304
4,049
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
172
1,240
0
10 Nov 2017
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
287
9,803
0
25 Oct 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
96
1,121
0
31 Jul 2017
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
303
8,150
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
827
11,943
0
09 Mar 2017
Meta Networks
Tsendsuren Munkhdalai
Hong-ye Yu
GNN
AI4CE
101
1,068
0
02 Mar 2017
Few-Shot Object Recognition from Machine-Labeled Web Images
Zhongwen Xu
Linchao Zhu
Yi Yang
VLM
54
66
0
19 Dec 2016
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
375
7,333
0
13 Jun 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
99
1,372
0
09 Jul 2015
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
221
3,418
0
14 May 2014
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,902
0
12 Nov 2013
1