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Multi-level Semantic Feature Augmentation for One-shot Learning
v1v2v3v4 (latest)

Multi-level Semantic Feature Augmentation for One-shot Learning

15 April 2018
Z. Chen
Yanwei Fu
Yinda Zhang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
ArXiv (abs)PDFHTML

Papers citing "Multi-level Semantic Feature Augmentation for One-shot Learning"

50 / 55 papers shown
Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Qi Xu
J. Zhu
D. Zhou
Hao Chen
Yang Liu
Jiangrong Shen
Qiang Zhang
104
0
0
12 May 2025
Rethinking the Sample Relations for Few-Shot Classification
Rethinking the Sample Relations for Few-Shot Classification
Guowei Yin
Sheng Huang
Luwen Huangfu
Yi Zhang
Xiaohong Zhang
VLM
81
0
0
23 Jan 2025
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Hui Xiong
VLMViT
89
2
0
05 Oct 2023
Interpretable Few-shot Learning with Online Attribute Selection
Interpretable Few-shot Learning with Online Attribute Selection
M. Zarei
Majid Komeili
FAtt
85
2
0
16 Nov 2022
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
241
355
0
12 Jun 2018
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
91
930
0
21 May 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
59
1,130
0
25 Apr 2018
Memory Matching Networks for One-Shot Image Recognition
Memory Matching Networks for One-Shot Image Recognition
Qi Cai
Yingwei Pan
Ting Yao
C. Yan
Tao Mei
VLM
57
264
0
23 Apr 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
230
2,232
0
08 Mar 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard
Lawrence Phillips
Scott Howland
A. Yankov
Court D. Corley
Nathan Oken Hodas
SSL
72
159
0
12 Feb 2018
Deep Meta-Learning: Learning to Learn in the Concept Space
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
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
97
677
0
16 Jan 2018
Feature Space Transfer for Data Augmentation
Feature Space Transfer for Data Augmentation
Bo Liu
Xudong Wang
Mandar Dixit
Roland Kwitt
Nuno Vasconcelos
CVBM
79
95
0
13 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
298
4,050
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
167
1,239
0
10 Nov 2017
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSegVLM
107
704
0
11 Sep 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
96
1,119
0
31 Jul 2017
Deep Layer Aggregation
Deep Layer Aggregation
Feng Yu
Dequan Wang
Evan Shelhamer
Trevor Darrell
AI4CEFAtt
146
1,329
0
20 Jul 2017
Few-Shot Image Recognition by Predicting Parameters from Activations
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
VLM
69
554
0
12 Jun 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
125
5,553
0
30 Mar 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
300
8,134
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,909
0
09 Mar 2017
Meta Networks
Meta Networks
Tsendsuren Munkhdalai
Hong-ye Yu
GNNAI4CE
101
1,068
0
02 Mar 2017
Few-Shot Object Recognition from Machine-Labeled Web Images
Few-Shot Object Recognition from Machine-Labeled Web Images
Zhongwen Xu
Linchao Zhu
Yi Yang
VLM
43
66
0
19 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
66
459
0
13 Dec 2016
AGA: Attribute Guided Augmentation
AGA: Attribute Guided Augmentation
Mandar Dixit
Roland Kwitt
Marc Niethammer
Nuno Vasconcelos
GAN
69
101
0
08 Dec 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Daniel Cremers
Luc Van Gool
VOS
79
917
0
16 Nov 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
329
4,574
0
13 Nov 2016
Generative Multi-Adversarial Networks
Generative Multi-Adversarial Networks
Ishan Durugkar
I. Gemp
Sridhar Mahadevan
GAN
65
344
0
05 Nov 2016
A data augmentation methodology for training machine/deep learning gait
  recognition algorithms
A data augmentation methodology for training machine/deep learning gait recognition algorithms
Christoforos C. Charalambous
Anil A. Bharath
CVBM
103
43
0
24 Oct 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
80
1,399
0
12 Sep 2016
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
Grégory Rogez
Cordelia Schmid
3DH
77
276
0
07 Jul 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLLOODSSL
298
4,408
0
29 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
Deeply-Fused Nets
Deeply-Fused Nets
Jingdong Wang
Zhen Wei
Ting Zhang
Wenjun Zeng
FedML
173
98
0
25 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
One-shot Learning with Memory-Augmented Neural Networks
One-shot Learning with Memory-Augmented Neural Networks
Adam Santoro
Sergey Bartunov
M. Botvinick
Daan Wierstra
Timothy Lillicrap
77
525
0
19 May 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
203
3,146
0
17 May 2016
Semi-supervised Vocabulary-informed Learning
Semi-supervised Vocabulary-informed Learning
Yanwei Fu
Leonid Sigal
VLM
79
132
0
24 Apr 2016
One-Shot Generalization in Deep Generative Models
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Ivo Danihelka
Karol Gregor
Daan Wierstra
BDLVLMDRLLRM
108
254
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
261
14,012
0
19 Nov 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
96
1,372
0
09 Jul 2015
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual
  Descriptions
Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
Jimmy Ba
Kevin Swersky
Sanja Fidler
Ruslan Salakhutdinov
VLM
70
438
0
01 Jun 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
99
737
0
21 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Do We Need More Training Data?
Do We Need More Training Data?
Xiangxin Zhu
Carl Vondrick
Charless C. Fowlkes
Deva Ramanan
48
223
0
05 Mar 2015
Transductive Multi-view Zero-Shot Learning
Transductive Multi-view Zero-Shot Learning
Yanwei Fu
Timothy M. Hospedales
Tao Xiang
S. Gong
86
456
0
19 Jan 2015
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
126
1,962
0
26 Nov 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Alexey Dosovitskiy
Jost Tobias Springenberg
Maxim Tatarchenko
Thomas Brox
GAN
174
676
0
21 Nov 2014
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