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Semantic Regularization: Improve Few-shot Image Classification by
  Reducing Meta Shift
v1v2 (latest)

Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift

18 December 2019
Da Chen
Yongliang Yang
Zunlei Feng
Xiang Wu
Min-Gyoo Song
Wenbin Li
Yuan He
Hui Xue
Feng Mao
    VLM
ArXiv (abs)PDFHTML

Papers citing "Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift"

14 / 14 papers shown
Title
Finding Task-Relevant Features for Few-Shot Learning by Category
  Traversal
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Hongyang Li
David Eigen
Samuel F. Dodge
Matthew D. Zeiler
Xiaogang Wang
VLM
117
341
0
27 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
90
1,816
0
10 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot
  Learning
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li
Lei Wang
Jinglin Xu
Jing Huo
Yang Gao
Jiebo Luo
84
491
0
28 Mar 2019
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
144
1,372
0
16 Jul 2018
MSplit LBI: Realizing Feature Selection and Dense Estimation
  Simultaneously in Few-shot and Zero-shot Learning
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Bo Zhao
Xinwei Sun
Yanwei Fu
Yuan Yao
Yizhou Wang
48
23
0
12 Jun 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
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
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
308
4,049
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
172
1,240
0
10 Nov 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
81
554
0
12 Jun 2017
Discriminative k-shot learning using probabilistic models
Discriminative k-shot learning using probabilistic models
Matthias Bauer
Mateo Rojas-Carulla
J. Swiatkowski
Bernhard Schölkopf
Richard Turner
VLM
63
71
0
01 Jun 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
829
11,943
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
375
7,333
0
13 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
353
8,000
0
23 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
381
14,263
0
23 Feb 2016
1