ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.08129
  4. Cited By
Multimodal Explanations: Justifying Decisions and Pointing to the
  Evidence

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

15 February 2018
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Anna Rohrbach
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
ArXiv (abs)PDFHTML

Papers citing "Multimodal Explanations: Justifying Decisions and Pointing to the Evidence"

30 / 30 papers shown
Title
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
Lingjun Zhao
Hal Daumé III
162
0
0
25 May 2025
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
Diana Galván-Sosa
Gabrielle Gaudeau
Pride Kavumba
Yunmeng Li
Hongyi gu
Zheng Yuan
Keisuke Sakaguchi
P. Buttery
LRM
104
0
0
31 Mar 2025
Multimodal Rationales for Explainable Visual Question Answering
Multimodal Rationales for Explainable Visual Question Answering
Kun Li
G. Vosselman
Michael Ying Yang
111
2
0
06 Feb 2024
Interpreting Deep Visual Representations via Network Dissection
Interpreting Deep Visual Representations via Network Dissection
Bolei Zhou
David Bau
A. Oliva
Antonio Torralba
FAttMILM
60
324
0
15 Nov 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth C. Fong
Andrea Vedaldi
FAttAAML
76
1,525
0
11 Apr 2017
Visualizing Deep Neural Network Decisions: Prediction Difference
  Analysis
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
L. Zintgraf
Taco S. Cohen
T. Adel
Max Welling
FAtt
143
708
0
15 Feb 2017
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
Learning What and Where to Draw
Learning What and Where to Draw
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRLGAN
75
620
0
08 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
321
20,070
0
07 Oct 2016
Measuring Machine Intelligence Through Visual Question Answering
Measuring Machine Intelligence Through Visual Question Answering
C. L. Zitnick
Aishwarya Agrawal
Stanislaw Antol
Margaret Mitchell
Dhruv Batra
Devi Parikh
51
37
0
31 Aug 2016
SPICE: Semantic Propositional Image Caption Evaluation
SPICE: Semantic Propositional Image Caption Evaluation
Peter Anderson
Basura Fernando
Mark Johnson
Stephen Gould
EGVM
106
1,918
0
29 Jul 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
102
466
0
11 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
1,466
0
06 Jun 2016
Learning Models for Actions and Person-Object Interactions with Transfer
  to Question Answering
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
Arun Mallya
Svetlana Lazebnik
85
119
0
16 Apr 2016
Generating Visual Explanations
Generating Visual Explanations
Lisa Anne Hendricks
Zeynep Akata
Marcus Rohrbach
Jeff Donahue
Bernt Schiele
Trevor Darrell
VLMFAtt
92
620
0
28 Mar 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
77
755
0
04 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
73
460
0
23 Nov 2015
ABC-CNN: An Attention Based Convolutional Neural Network for Visual
  Question Answering
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering
Kan Chen
Jiang Wang
Liang-Chieh Chen
Haoyuan Gao
Wenyuan Xu
Ram Nevatia
73
288
0
18 Nov 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
102
887
0
11 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
Contextual Action Recognition with R*CNN
Contextual Action Recognition with R*CNN
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
HAI
89
403
0
05 May 2015
Ask Your Neurons: A Neural-based Approach to Answering Questions about
  Images
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
108
600
0
05 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
217
5,497
0
03 May 2015
Object Detectors Emerge in Deep Scene CNNs
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
ObjD
153
1,283
0
22 Dec 2014
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
297
4,508
0
20 Nov 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
575
27,325
0
01 Sep 2014
Fine-grained Activity Recognition with Holistic and Pose based Features
Fine-grained Activity Recognition with Holistic and Pose based Features
L. Pishchulin
Mykhaylo Andriluka
Bernt Schiele
88
53
0
07 Jun 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
422
43,777
0
01 May 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,902
0
12 Nov 2013
1