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Towards VQA Models That Can Read
v1v2 (latest)

Towards VQA Models That Can Read

18 April 2019
Amanpreet Singh
Vivek Natarajan
Meet Shah
Yu Jiang
Xinlei Chen
Dhruv Batra
Devi Parikh
Marcus Rohrbach
    EgoV
ArXiv (abs)PDFHTML

Papers citing "Towards VQA Models That Can Read"

38 / 138 papers shown
Title
Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering
Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering
Zhou Yu
Xuecheng Ouyang
Zhenwei Shao
Mei Wang
Jun Yu
MLLM
160
11
0
03 Mar 2023
ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots
ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots
Yu-Chung Hsiao
Fedir Zubach
Maria Wang
Jindong Chen
Victor Carbune
Jason Lin
Maria Wang
Yun Zhu
Jindong Chen
RALM
184
28
0
16 Sep 2022
Rosetta: Large scale system for text detection and recognition in images
Rosetta: Large scale system for text detection and recognition in images
Fedor Borisyuk
Albert Gordo
V. Sivakumar
78
299
0
11 Oct 2019
Pythia v0.1: the Winning Entry to the VQA Challenge 2018
Pythia v0.1: the Winning Entry to the VQA Challenge 2018
Yu Jiang
Vivek Natarajan
Xinlei Chen
Marcus Rohrbach
Dhruv Batra
Devi Parikh
VLM
61
203
0
26 Jul 2018
Bilinear Attention Networks
Bilinear Attention Networks
Jin-Hwa Kim
Jaehyun Jun
Byoung-Tak Zhang
AIMat
87
876
0
21 May 2018
VizWiz Grand Challenge: Answering Visual Questions from Blind People
VizWiz Grand Challenge: Answering Visual Questions from Blind People
Danna Gurari
Qing Li
Abigale Stangl
Anhong Guo
Chi Lin
Kristen Grauman
Jiebo Luo
Jeffrey P. Bigham
CoGe
97
858
0
22 Feb 2018
Learning to Count Objects in Natural Images for Visual Question
  Answering
Learning to Count Objects in Natural Images for Visual Question Answering
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
OOD
68
207
0
15 Feb 2018
DVQA: Understanding Data Visualizations via Question Answering
DVQA: Understanding Data Visualizations via Question Answering
Kushal Kafle
Brian L. Price
Scott D. Cohen
Christopher Kanan
AIMat
77
396
0
24 Jan 2018
FigureQA: An Annotated Figure Dataset for Visual Reasoning
FigureQA: An Annotated Figure Dataset for Visual Reasoning
Samira Ebrahimi Kahou
Vincent Michalski
Adam Atkinson
Ákos Kádár
Adam Trischler
Yoshua Bengio
ReLMAIMat
57
330
0
19 Oct 2017
Beyond Bilinear: Generalized Multimodal Factorized High-order Pooling
  for Visual Question Answering
Beyond Bilinear: Generalized Multimodal Factorized High-order Pooling for Visual Question Answering
Zhou Yu
Jun-chen Yu
Chenchao Xiang
Jianping Fan
Dacheng Tao
61
460
0
10 Aug 2017
MemexQA: Visual Memex Question Answering
MemexQA: Visual Memex Question Answering
Lu Jiang
Junwei Liang
Liangliang Cao
Yannis Kalantidis
S. Farfade
Alexander G. Hauptmann
38
28
0
04 Aug 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
121
4,220
0
25 Jul 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
128
3,685
0
08 Jun 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
301
4,019
0
14 Apr 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
307
2,386
0
20 Dec 2016
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
345
3,270
0
02 Dec 2016
Dynamic Coattention Networks For Question Answering
Dynamic Coattention Networks For Question Answering
Caiming Xiong
Victor Zhong
R. Socher
AIMat
84
684
0
05 Nov 2016
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
328
2,876
0
26 Sep 2016
Bag of Tricks for Efficient Text Classification
Bag of Tricks for Efficient Text Classification
Armand Joulin
Edouard Grave
Piotr Bojanowski
Tomas Mikolov
VLM
177
4,630
0
06 Jul 2016
FVQA: Fact-based Visual Question Answering
FVQA: Fact-based Visual Question Answering
Peng Wang
Qi Wu
Chunhua Shen
Anton van den Hengel
A. Dick
CoGe
77
462
0
17 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
305
1,465
0
06 Jun 2016
Adversarial Feature Learning
Adversarial Feature Learning
Jiasen Lu
Philipp Krahenbuhl
Trevor Darrell
GAN
113
1,611
0
31 May 2016
Pointing the Unknown Words
Pointing the Unknown Words
Çağlar Gülçehre
Sungjin Ahn
Ramesh Nallapati
Bowen Zhou
Yoshua Bengio
55
525
0
26 Mar 2016
A Diagram Is Worth A Dozen Images
A Diagram Is Worth A Dozen Images
Aniruddha Kembhavi
M. Salvato
Eric Kolve
Minjoon Seo
Hannaneh Hajishirzi
Ali Farhadi
3DV
76
486
0
24 Mar 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
Zhengdong Lu
Hang Li
Victor O.K. Li
206
1,539
0
21 Mar 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
220
5,761
0
23 Feb 2016
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and
  Beyond
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Ramesh Nallapati
Bowen Zhou
Cicero Nogueira dos Santos
Çağlar Gülçehre
Bing Xiang
AIMat
270
2,564
0
19 Feb 2016
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in
  Natural Images
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit
Tomas Matera
Lukás Neumann
Jirí Matas
Serge J. Belongie
277
528
0
26 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for
  Visual Question Answering
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
Huijuan Xu
Kate Saenko
76
763
0
17 Nov 2015
Visual7W: Grounded Question Answering in Images
Visual7W: Grounded Question Answering in Images
Yuke Zhu
Oliver Groth
Michael S. Bernstein
Li Fei-Fei
94
887
0
11 Nov 2015
Neural Module Networks
Neural Module Networks
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
CoGe
139
1,076
0
09 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
109
1,883
0
07 Nov 2015
Exploring Models and Data for Image Question Answering
Exploring Models and Data for Image Question Answering
Mengye Ren
Ryan Kiros
R. Zemel
80
718
0
08 May 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
211
5,497
0
03 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
A Multi-World Approach to Question Answering about Real-World Scenes
  based on Uncertain Input
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
Mateusz Malinowski
Mario Fritz
212
698
0
01 Oct 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
573
27,325
0
01 Sep 2014
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