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Human Attention in Visual Question Answering: Do Humans and Deep
  Networks Look at the Same Regions?

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

11 June 2016
Abhishek Das
Harsh Agrawal
C. L. Zitnick
Devi Parikh
Dhruv Batra
ArXivPDFHTML

Papers citing "Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?"

50 / 230 papers shown
Title
Behind the Machine's Gaze: Neural Networks with Biologically-inspired
  Constraints Exhibit Human-like Visual Attention
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention
Leo Schwinn
Doina Precup
Bjoern M. Eskofier
Dario Zanca
12
7
0
19 Apr 2022
A General Survey on Attention Mechanisms in Deep Learning
A General Survey on Attention Mechanisms in Deep Learning
Gianni Brauwers
Flavius Frasincar
23
295
0
27 Mar 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture
  Classification
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao
Kewen Liao
Haifeng Shen
M. F. van Boxel
J. Prijs
R. Jaarsma
J. Doornberg
A. Hengel
Johan W. Verjans
21
14
0
21 Mar 2022
Joint Answering and Explanation for Visual Commonsense Reasoning
Joint Answering and Explanation for Visual Commonsense Reasoning
Zhenyang Li
Yangyang Guo
Ke-Jyun Wang
Yin-wei Wei
Liqiang Nie
Mohan S. Kankanhalli
19
16
0
25 Feb 2022
An experimental study of the vision-bottleneck in VQA
An experimental study of the vision-bottleneck in VQA
Pierre Marza
Corentin Kervadec
G. Antipov
M. Baccouche
Christian Wolf
18
1
0
14 Feb 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive
  Attention Alignment
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
Yuyang Gao
Tong Sun
Liang Zhao
Sungsoo Ray Hong
HAI
21
37
0
06 Feb 2022
Grounding Answers for Visual Questions Asked by Visually Impaired People
Grounding Answers for Visual Questions Asked by Visually Impaired People
Chongyan Chen
Samreen Anjum
Danna Gurari
23
50
0
04 Feb 2022
Deep Learning Approaches on Image Captioning: A Review
Deep Learning Approaches on Image Captioning: A Review
Taraneh Ghandi
H. Pourreza
H. Mahyar
VLM
8
88
0
31 Jan 2022
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric
  Outside-Knowledge Visual Question Answering
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering
Feng Gao
Q. Ping
Govind Thattai
Aishwarya N. Reganti
Yingting Wu
Premkumar Natarajan
13
16
0
14 Jan 2022
On the Efficacy of Co-Attention Transformer Layers in Visual Question
  Answering
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering
Ankur Sikarwar
Gabriel Kreiman
ViT
8
1
0
11 Jan 2022
COIN: Counterfactual Image Generation for VQA Interpretation
COIN: Counterfactual Image Generation for VQA Interpretation
Zeyd Boukhers
Timo Hartmann
Jan Jurjens
11
7
0
10 Jan 2022
Medical Visual Question Answering: A Survey
Medical Visual Question Answering: A Survey
Zhihong Lin
Donghao Zhang
Qingyi Tao
Danli Shi
Gholamreza Haffari
Qi Wu
M. He
Z. Ge
28
112
0
19 Nov 2021
Addressing Multiple Salient Object Detection via Dual-Space Long-Range
  Dependencies
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies
Bowen Deng
Andrew P. French
Michael P. Pound
6
4
0
04 Nov 2021
Human Attention in Fine-grained Classification
Human Attention in Fine-grained Classification
Yao Rong
Wenjia Xu
Zeynep Akata
Enkelejda Kasneci
21
35
0
02 Nov 2021
Improving Users' Mental Model with Attention-directed Counterfactual
  Edits
Improving Users' Mental Model with Attention-directed Counterfactual Edits
Kamran Alipour
Arijit Ray
Xiaoyu Lin
Michael Cogswell
J. Schulze
Yi Yao
Giedrius Burachas
OOD
14
9
0
13 Oct 2021
Beyond Accuracy: A Consolidated Tool for Visual Question Answering
  Benchmarking
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking
Dirk Vath
Pascal Tilli
Ngoc Thang Vu
33
4
0
11 Oct 2021
Multimodal Integration of Human-Like Attention in Visual Question
  Answering
Multimodal Integration of Human-Like Attention in Visual Question Answering
Ekta Sood
Fabian Kögel
Philippe Muller
Dominike Thomas
Mihai Bâce
Andreas Bulling
33
16
0
27 Sep 2021
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual
  Question Answering
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
Ekta Sood
Fabian Kögel
Florian Strohm
Prajit Dhar
Andreas Bulling
29
19
0
27 Sep 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the
  Dataset into Explicit Training Examples for Visual Question Answering
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering
Jihyung Kil
Cheng Zhang
D. Xuan
Wei-Lun Chao
56
20
0
13 Sep 2021
On the Significance of Question Encoder Sequence Model in the
  Out-of-Distribution Performance in Visual Question Answering
On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering
K. Gouthaman
Anurag Mittal
CML
37
0
0
28 Aug 2021
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence
  Semantic Matching
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching
Kun Zhang
Guangyi Lv
Le Wu
Enhong Chen
Qi Liu
Meng Wang
17
6
0
06 Aug 2021
Greedy Gradient Ensemble for Robust Visual Question Answering
Greedy Gradient Ensemble for Robust Visual Question Answering
Xinzhe Han
Shuhui Wang
Chi Su
Qingming Huang
Q. Tian
18
74
0
27 Jul 2021
Separating Skills and Concepts for Novel Visual Question Answering
Separating Skills and Concepts for Novel Visual Question Answering
Spencer Whitehead
Hui Wu
Heng Ji
Rogerio Feris
Kate Saenko
CoGe
30
34
0
19 Jul 2021
Align before Fuse: Vision and Language Representation Learning with
  Momentum Distillation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li
Ramprasaath R. Selvaraju
Akhilesh Deepak Gotmare
Shafiq R. Joty
Caiming Xiong
S. Hoi
FaML
48
1,881
0
16 Jul 2021
Passive Attention in Artificial Neural Networks Predicts Human Visual
  Selectivity
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity
Thomas A. Langlois
H. C. Zhao
Erin Grant
Ishita Dasgupta
Thomas L. Griffiths
Nori Jacoby
42
15
0
14 Jul 2021
Human Attention during Goal-directed Reading Comprehension Relies on
  Task Optimization
Human Attention during Goal-directed Reading Comprehension Relies on Task Optimization
Jiajie Zou
Yuran Zhang
Jialu Li
Xing Tian
Nai Ding
AIMat
25
2
0
13 Jul 2021
Saying the Unseen: Video Descriptions via Dialog Agents
Saying the Unseen: Video Descriptions via Dialog Agents
Ye Zhu
Yu Wu
Yi Yang
Yan Yan
22
6
0
26 Jun 2021
Supervising the Transfer of Reasoning Patterns in VQA
Supervising the Transfer of Reasoning Patterns in VQA
Corentin Kervadec
Christian Wolf
G. Antipov
M. Baccouche
Madiha Nadri Wolf
22
10
0
10 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
19
31
0
09 Jun 2021
LPF: A Language-Prior Feedback Objective Function for De-biased Visual
  Question Answering
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
Zujie Liang
Haifeng Hu
Jiaying Zhu
31
38
0
29 May 2021
Connecting What to Say With Where to Look by Modeling Human Attention
  Traces
Connecting What to Say With Where to Look by Modeling Human Attention Traces
Zihang Meng
Licheng Yu
Ning Zhang
Tamara L. Berg
Babak Damavandi
Vikas Singh
Amy Bearman
24
25
0
12 May 2021
Comparing Visual Reasoning in Humans and AI
Comparing Visual Reasoning in Humans and AI
Shravan Murlidaran
W. Wang
M. Eckstein
24
1
0
29 Apr 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual
  Explanations
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations
Varun Nagaraj Rao
Xingjian Zhen
K. Hovsepian
Mingwei Shen
19
17
0
29 Apr 2021
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual
  Question Answering
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering
Weixin Liang
Yanhao Jiang
Zixuan Liu
GNN
39
32
0
20 Apr 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in
  Visual Question Answering
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
Corentin Dancette
Rémi Cadène
Damien Teney
Matthieu Cord
CML
26
74
0
07 Apr 2021
Multimodal Continuous Visual Attention Mechanisms
Multimodal Continuous Visual Attention Mechanisms
António Farinhas
André F. T. Martins
P. Aguiar
12
6
0
07 Apr 2021
Generating and Evaluating Explanations of Attended and Error-Inducing
  Input Regions for VQA Models
Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models
Arijit Ray
Michael Cogswell
Xiaoyu Lin
Kamran Alipour
Ajay Divakaran
Yi Yao
Giedrius Burachas
FAtt
6
4
0
26 Mar 2021
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented
  Visual Question Answering
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
Aman Jain
Mayank Kothyari
Vishwajeet Kumar
P. Jyothi
Ganesh Ramakrishnan
Soumen Chakrabarti
11
34
0
09 Mar 2021
Visual Question Answering: which investigated applications?
Visual Question Answering: which investigated applications?
Silvio Barra
Carmen Bisogni
M. De Marsico
S. Ricciardi
13
37
0
04 Mar 2021
Answer Questions with Right Image Regions: A Visual Attention
  Regularization Approach
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
Y. Liu
Yangyang Guo
Jianhua Yin
Xuemeng Song
Weifeng Liu
Liqiang Nie
24
28
0
03 Feb 2021
Visual explanation of black-box model: Similarity Difference and
  Uniqueness (SIDU) method
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method
Satya M. Muddamsetty
M. N. Jahromi
Andreea-Emilia Ciontos
Laura M. Fenoy
T. Moeslund
AAML
19
26
0
26 Jan 2021
Absolute Value Constraint: The Reason for Invalid Performance Evaluation
  Results of Neural Network Models for Stock Price Prediction
Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction
Yi Wei
14
1
0
10 Jan 2021
To what extent do human explanations of model behavior align with actual
  model behavior?
To what extent do human explanations of model behavior align with actual model behavior?
Grusha Prasad
Yixin Nie
Mohit Bansal
Robin Jia
Douwe Kiela
Adina Williams
29
28
0
24 Dec 2020
Object-Centric Diagnosis of Visual Reasoning
Object-Centric Diagnosis of Visual Reasoning
Jianwei Yang
Jiayuan Mao
Jiajun Wu
Devi Parikh
David D. Cox
J. Tenenbaum
Chuang Gan
OCL
19
16
0
21 Dec 2020
Learning content and context with language bias for Visual Question
  Answering
Learning content and context with language bias for Visual Question Answering
Chao Yang
Su Feng
Dongsheng Li
Huawei Shen
Guoqing Wang
Bin Jiang
24
21
0
21 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey
Demystifying Deep Neural Networks Through Interpretation: A Survey
Giang Dao
Minwoo Lee
FaML
FAtt
8
1
0
13 Dec 2020
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular
  Supervision for Visual Question Answering
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
Weixin Liang
Fei Niu
Aishwarya N. Reganti
Govind Thattai
Gökhan Tür
26
17
0
21 Nov 2020
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Sihang Guo
Ruohan Zhang
Bo Liu
Yifeng Zhu
M. Hayhoe
D. Ballard
Peter Stone
OffRL
16
25
0
29 Oct 2020
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved
  Consistency
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency
Sameer Dharur
Purva Tendulkar
Dhruv Batra
Devi Parikh
Ramprasaath R. Selvaraju
16
2
0
20 Oct 2020
Interpreting Attention Models with Human Visual Attention in Machine
  Reading Comprehension
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension
Ekta Sood
Simon Tannert
Diego Frassinelli
Andreas Bulling
Ngoc Thang Vu
HAI
16
54
0
13 Oct 2020
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