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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

26 March 2021
Arijit Ray
Michael Cogswell
Xiaoyu Lin
Kamran Alipour
Ajay Divakaran
Yi Yao
Giedrius Burachas
    FAtt
ArXivPDFHTML

Papers citing "Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models"

16 / 16 papers shown
Title
A Study on Multimodal and Interactive Explanations for Visual Question
  Answering
A Study on Multimodal and Interactive Explanations for Visual Question Answering
Kamran Alipour
J. Schulze
Yi Yao
Avi Ziskind
Giedrius Burachas
43
27
0
01 Mar 2020
VisualBERT: A Simple and Performant Baseline for Vision and Language
VisualBERT: A Simple and Performant Baseline for Vision and Language
Liunian Harold Li
Mark Yatskar
Da Yin
Cho-Jui Hsieh
Kai-Wei Chang
VLM
111
1,939
0
09 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for
  Vision-and-Language Tasks
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu
Dhruv Batra
Devi Parikh
Stefan Lee
SSL
VLM
197
3,659
0
06 Aug 2019
RISE: Randomized Input Sampling for Explanation of Black-box Models
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
136
1,164
0
19 Jun 2018
Learning to Act Properly: Predicting and Explaining Affordances from
  Images
Learning to Act Properly: Predicting and Explaining Affordances from Images
Ching-Yao Chuang
Jiaman Li
Antonio Torralba
Sanja Fidler
47
101
0
20 Dec 2017
Exploring Human-like Attention Supervision in Visual Question Answering
Exploring Human-like Attention Supervision in Visual Question Answering
Tingting Qiao
Jianfeng Dong
Duanqing Xu
33
104
0
19 Sep 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
102
4,201
0
25 Jul 2017
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
222
4,229
0
22 Jun 2017
Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question
  Answering
Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering
V. Kazemi
Ali Elqursh
OOD
54
184
0
11 Apr 2017
It Takes Two to Tango: Towards Theory of AI's Mind
It Takes Two to Tango: Towards Theory of AI's Mind
Arjun Chandrasekaran
Deshraj Yadav
Prithvijit Chattopadhyay
Viraj Prabhu
Devi Parikh
61
54
0
03 Apr 2017
Who is Mistaken?
Who is Mistaken?
Benjamin Eysenbach
Carl Vondrick
Antonio Torralba
47
16
0
04 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
297
3,187
0
02 Dec 2016
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?
Abhishek Das
Harsh Agrawal
C. L. Zitnick
Devi Parikh
Dhruv Batra
85
465
0
11 Jun 2016
Adversarial Feature Learning
Adversarial Feature Learning
Jiasen Lu
Philipp Krahenbuhl
Trevor Darrell
GAN
88
1,608
0
31 May 2016
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
93
1,875
0
07 Nov 2015
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
302
33,445
0
16 Oct 2013
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