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Predicting Deep Zero-Shot Convolutional Neural Networks using Textual
  Descriptions
v1v2 (latest)

Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions

IEEE International Conference on Computer Vision (ICCV), 2015
1 June 2015
Jimmy Ba
Kevin Swersky
Sanja Fidler
Ruslan Salakhutdinov
    VLM
ArXiv (abs)PDFHTML

Papers citing "Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions"

46 / 196 papers shown
Zero-Shot Activity Recognition with Verb Attribute Induction
Zero-Shot Activity Recognition with Verb Attribute Induction
Rowan Zellers
Yejin Choi
136
54
0
29 Jul 2017
Analyzing First-Person Stories Based on Socializing, Eating and
  Sedentary Patterns
Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns
Pedro Herruzo
L. Portell
Alberto Soto
Beatriz Remeseiro
EgoV
100
7
0
25 Jul 2017
Visually Aligned Word Embeddings for Improving Zero-shot Learning
Visually Aligned Word Embeddings for Improving Zero-shot Learning
Ruizhi Qiao
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
139
19
0
18 Jul 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
603
1,763
0
03 Jul 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement
  Learning
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh
Satinder Singh
Honglak Lee
Pushmeet Kohli
OffRL
278
278
0
15 Jun 2017
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric Xing
CML
386
88
0
29 May 2017
Look, Listen and Learn
Look, Listen and Learn
Relja Arandjelović
Andrew Zisserman
SSL
371
982
0
23 May 2017
Semantic Softmax Loss for Zero-Shot Learning
Semantic Softmax Loss for Zero-Shot Learning
Zhong Ji
Yunxin Sun
Yulong Yu
Jichang Guo
Yanwei Pang
VLM
141
14
0
22 May 2017
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region
  Localization
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization
Kuo-Hao Zeng
Shih-Han Chou
Fu-Hsiang Chan
Juan Carlos Niebles
Min Sun
155
78
0
18 May 2017
Recent Advances in Transfer Learning for Cross-Dataset Visual
  Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
239
46
0
11 May 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
LM&MA
781
3,030
0
05 May 2017
From Zero-shot Learning to Conventional Supervised Classification:
  Unseen Visual Data Synthesis
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
Yang Long
Li Liu
Ling Shao
Fumin Shen
Guiguang Ding
Jiawei Han
271
157
0
04 May 2017
Attributes2Classname: A discriminative model for attribute-based
  unsupervised zero-shot learning
Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning
B. Demirel
R. G. Cinbis
Nazli Ikizler-Cinbis
VLM
239
59
0
04 May 2017
Semantic Autoencoder for Zero-Shot Learning
Semantic Autoencoder for Zero-Shot Learning
Elyor Kodirov
Tao Xiang
S. Gong
VLM
300
882
0
26 Apr 2017
What's in a Question: Using Visual Questions as a Form of Supervision
What's in a Question: Using Visual Questions as a Form of Supervision
Siddha Ganju
Olga Russakovsky
Abhinav Gupta
193
16
0
12 Apr 2017
Automatic Discovery, Association Estimation and Learning of Semantic
  Attributes for a Thousand Categories
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories
Ziad Al-Halah
Rainer Stiefelhagen
VLMBDL
124
32
0
12 Apr 2017
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
Liwei Wang
Yin Li
Jing-ling Huang
Svetlana Lazebnik
VLM
280
530
0
11 Apr 2017
Transductive Zero-Shot Learning with Adaptive Structural Embedding
Transductive Zero-Shot Learning with Adaptive Structural Embedding
YunLong Yu
Zhong Ji
Jichang Guo
Yanwei Pang
157
45
0
27 Mar 2017
Open Vocabulary Scene Parsing
Open Vocabulary Scene Parsing
Hang Zhao
Xavier Puig
Bolei Zhou
Sanja Fidler
Antonio Torralba
VLM3DV
284
127
0
26 Mar 2017
Zero-Shot Learning by Generating Pseudo Feature Representations
Zero-Shot Learning by Generating Pseudo Feature Representations
Jiang Lu
Jin Li
Ziang Yan
Changshui Zhang
VLM
149
26
0
19 Mar 2017
Learning Robust Visual-Semantic Embeddings
Learning Robust Visual-Semantic Embeddings
Yifan Hao
Liang-Kang Huang
Ruslan Salakhutdinov
SSLAI4TS
169
182
0
17 Mar 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
648
9,295
0
15 Mar 2017
Commonly Uncommon: Semantic Sparsity in Situation Recognition
Commonly Uncommon: Semantic Sparsity in Situation Recognition
Mark Yatskar
Vicente Ordonez
Luke Zettlemoyer
Ali Farhadi
VLM
171
46
0
03 Dec 2016
Zero-Shot Learning posed as a Missing Data Problem
Zero-Shot Learning posed as a Missing Data Problem
Bo Zhao
Botong Wu
Tianfu Wu
Yizhou Wang
VLM
177
34
0
02 Dec 2016
Learning Joint Feature Adaptation for Zero-Shot Recognition
Learning Joint Feature Adaptation for Zero-Shot Recognition
Ziming Zhang
Venkatesh Saligrama
233
19
0
23 Nov 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
188
95
0
20 Nov 2016
Learning a Deep Embedding Model for Zero-Shot Learning
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang
Tao Xiang
S. Gong
SyDaVLM
359
746
0
15 Nov 2016
Cross-Modal Scene Networks
Cross-Modal Scene Networks
Y. Aytar
Lluis Castrejon
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
SSL
177
116
0
27 Oct 2016
Recovering the Missing Link: Predicting Class-Attribute Associations for
  Unsupervised Zero-Shot Learning
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2016
Ziad Al-Halah
Makarand Tapaswi
Rainer Stiefelhagen
VLM
255
104
0
15 Oct 2016
Zero Shot Hashing
Zero Shot Hashing
Shubham Pachori
Shanmuganathan Raman
VLM
84
3
0
09 Oct 2016
Infinite-Label Learning with Semantic Output Codes
Infinite-Label Learning with Semantic Output Codes
Yang Zhang
Rupam Acharyya
Ji Liu
Boqing Gong
232
3
0
23 Aug 2016
Improving Semantic Embedding Consistency by Metric Learning for
  Zero-Shot Classification
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification
Max Bucher
Stéphane Herbin
F. Jurie
VLM
245
219
0
27 Jul 2016
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Lluis Castrejon
Y. Aytar
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
SSLDRLAI4TS
168
177
0
25 Jul 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan
Ross B. Girshick
VLM
319
50
0
09 Jun 2016
Semi-supervised Zero-Shot Learning by a Clustering-based Approach
Semi-supervised Zero-Shot Learning by a Clustering-based Approach
Seyed Mohsen Shojaee
M. Baghshah
VLM
160
38
0
29 May 2016
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Fei Sha
VLM
224
181
0
26 May 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCLVLM
422
892
0
17 May 2016
An Empirical Study and Analysis of Generalized Zero-Shot Learning for
  Object Recognition in the Wild
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
Wei-Lun Chao
Soravit Changpinyo
Boqing Gong
Fei Sha
181
603
0
13 May 2016
Less is more: zero-shot learning from online textual documents with
  noise suppression
Less is more: zero-shot learning from online textual documents with noise suppression
Ruizhi Qiao
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
183
192
0
05 Apr 2016
Multi-Cue Zero-Shot Learning with Strong Supervision
Multi-Cue Zero-Shot Learning with Strong Supervision
Zeynep Akata
Mateusz Malinowski
Mario Fritz
Bernt Schiele
210
152
0
29 Mar 2016
Synthesized Classifiers for Zero-Shot Learning
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Boqing Gong
Fei Sha
335
751
0
02 Mar 2016
Where To Look: Focus Regions for Visual Question Answering
Where To Look: Focus Regions for Visual Question Answering
Kevin J. Shih
Saurabh Singh
Derek Hoiem
230
477
0
23 Nov 2015
Learning Deep Structure-Preserving Image-Text Embeddings
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang
Yin Li
Svetlana Lazebnik
479
820
0
19 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic
  Parameter Prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh
Paul Hongsuck Seo
Bohyung Han
OOD
174
334
0
18 Nov 2015
Sherlock: Scalable Fact Learning in Images
Sherlock: Scalable Fact Learning in Images
Mohamed Elhoseiny
Scott D. Cohen
W. Chang
Brian L. Price
Ahmed Elgammal
207
26
0
16 Nov 2015
Zero-Shot Learning via Joint Latent Similarity Embedding
Zero-Shot Learning via Joint Latent Similarity Embedding
Ziming Zhang
Venkatesh Saligrama
292
361
0
14 Nov 2015
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