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Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question
  Answering

Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering

11 April 2017
V. Kazemi
Ali Elqursh
    OOD
ArXivPDFHTML

Papers citing "Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering"

26 / 26 papers shown
Title
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
Hu Wang
Yuanhong Chen
Congbo Ma
Yuan Zhang
Jodie Avery
Gustavo Carneiro
Gustavo Carneiro
44
32
0
02 Oct 2023
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
330
3,238
0
02 Dec 2016
Dual Attention Networks for Multimodal Reasoning and Matching
Dual Attention Networks for Multimodal Reasoning and Matching
Hyeonseob Nam
Jung-Woo Ha
Jeonghee Kim
93
666
0
02 Nov 2016
Training Recurrent Answering Units with Joint Loss Minimization for VQA
Training Recurrent Answering Units with Joint Loss Minimization for VQA
Hyeonwoo Noh
Bohyung Han
60
71
0
12 Jun 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
293
1,465
0
06 Jun 2016
Multimodal Residual Learning for Visual QA
Multimodal Residual Learning for Visual QA
Jin-Hwa Kim
Sang-Woo Lee
Donghyun Kwak
Min-Oh Heo
Jeonghee Kim
Jung-Woo Ha
Byoung-Tak Zhang
51
300
0
05 Jun 2016
Adversarial Feature Learning
Adversarial Feature Learning
Jiasen Lu
Philipp Krahenbuhl
Trevor Darrell
GAN
109
1,609
0
31 May 2016
Dynamic Memory Networks for Visual and Textual Question Answering
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong
Stephen Merity
R. Socher
74
755
0
04 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
193,878
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
875
27,358
0
02 Dec 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
126
1,169
0
24 Nov 2015
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge
  from External Sources
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources
Qi Wu
Peng Wang
Chunhua Shen
A. Dick
Anton Van Den Hengel
75
372
0
22 Nov 2015
Neural Module Networks
Neural Module Networks
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
CoGe
134
1,072
0
09 Nov 2015
Generation and Comprehension of Unambiguous Object Descriptions
Generation and Comprehension of Unambiguous Object Descriptions
Junhua Mao
Jonathan Huang
Alexander Toshev
Oana-Maria Camburu
Alan Yuille
Kevin Patrick Murphy
ObjD
115
1,344
0
07 Nov 2015
Stacked Attention Networks for Image Question Answering
Stacked Attention Networks for Image Question Answering
Zichao Yang
Xiaodong He
Jianfeng Gao
Li Deng
Alex Smola
BDL
107
1,882
0
07 Nov 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
199
5,470
0
03 May 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
334
10,069
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
237
6,028
0
17 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
457
43,649
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
546
27,300
0
01 Sep 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
152
3,656
0
24 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
215
3,418
0
14 May 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
447
7,661
0
03 Jul 2012
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