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Learning Attributes Equals Multi-Source Domain Generalization

Learning Attributes Equals Multi-Source Domain Generalization

3 May 2016
Chuang Gan
Tianbao Yang
Boqing Gong
    OOD
ArXiv (abs)PDFHTML

Papers citing "Learning Attributes Equals Multi-Source Domain Generalization"

16 / 16 papers shown
Title
Automatic Concept Discovery from Parallel Text and Visual Corpora
Automatic Concept Discovery from Parallel Text and Visual Corpora
Chen Sun
Chuang Gan
Ram Nevatia
CoGe
42
107
0
24 Sep 2015
Domain Generalization for Object Recognition with Multi-task
  Autoencoders
Domain Generalization for Object Recognition with Multi-task Autoencoders
Muhammad Ghifary
W. Kleijn
Mengjie Zhang
David Balduzzi
ViTOOD
76
660
0
31 Aug 2015
Weakly Supervised Learning of Objects, Attributes and their Associations
Weakly Supervised Learning of Objects, Attributes and their Associations
Zhiyuan Shi
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
37
16
0
31 Mar 2015
Learning Hypergraph-regularized Attribute Predictors
Learning Hypergraph-regularized Attribute Predictors
Sheng Huang
Mohamed Elhoseiny
Ahmed Elgammal
Dan Yang
TPM
71
119
0
19 Mar 2015
Learning Spatiotemporal Features with 3D Convolutional Networks
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran
Lubomir D. Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
3DPC
77
411
0
02 Dec 2014
A Unified Semantic Embedding: Relating Taxonomies and Attributes
A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang
Leonid Sigal
54
55
0
18 Nov 2014
Evaluation of Output Embeddings for Fine-Grained Image Classification
Evaluation of Output Embeddings for Fine-Grained Image Classification
Zeynep Akata
Scott E. Reed
D. Walter
Honglak Lee
Bernt Schiele
83
1,020
0
30 Sep 2014
Zero Shot Recognition with Unreliable Attributes
Zero Shot Recognition with Unreliable Attributes
Dinesh Jayaraman
Kristen Grauman
VLM
66
293
0
15 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
274
14,713
0
20 Jun 2014
PANDA: Pose Aligned Networks for Deep Attribute Modeling
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Ning Zhang
Manohar Paluri
MarcÁurelio Ranzato
Trevor Darrell
Lubomir D. Bourdev
CVBM
146
531
0
21 Nov 2013
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
139
1,185
0
10 Jan 2013
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro
Amir Zamir
M. Shah
CLIPVGen
157
6,162
0
03 Dec 2012
Algorithms for Learning Kernels Based on Centered Alignment
Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes
M. Mohri
Afshin Rostamizadeh
73
547
0
02 Mar 2012
Hilbert space embeddings and metrics on probability measures
Hilbert space embeddings and metrics on probability measures
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
Bernhard Schölkopf
Gert R. G. Lanckriet
217
746
0
30 Jul 2009
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
231
2,363
0
15 May 2008
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