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Cycle-Consistency for Robust Visual Question Answering

Cycle-Consistency for Robust Visual Question Answering

15 February 2019
Meet Shah
Xinlei Chen
Marcus Rohrbach
Devi Parikh
    OOD
ArXiv (abs)PDFHTML

Papers citing "Cycle-Consistency for Robust Visual Question Answering"

29 / 129 papers shown
Contrast and Classify: Training Robust VQA Models
Contrast and Classify: Training Robust VQA Models
Yash Kant
A. Moudgil
Dhruv Batra
Devi Parikh
Harsh Agrawal
155
5
0
13 Oct 2020
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in
  Visual Question Answering
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Tejas Gokhale
Pratyay Banerjee
Chitta Baral
Yezhou Yang
OOD
222
155
0
18 Sep 2020
Ground-truth or DAER: Selective Re-query of Secondary Information
Ground-truth or DAER: Selective Re-query of Secondary InformationIEEE International Conference on Computer Vision (ICCV), 2020
Stephan J. Lemmer
Jason J. Corso
201
4
0
16 Sep 2020
Semantic Equivalent Adversarial Data Augmentation for Visual Question
  Answering
Semantic Equivalent Adversarial Data Augmentation for Visual Question AnsweringEuropean Conference on Computer Vision (ECCV), 2020
Ruixue Tang
Chao Ma
W. Zhang
Qi Wu
Xiaokang Yang
OOD
116
53
0
19 Jul 2020
Weakly-supervised Learning of Human Dynamics
Weakly-supervised Learning of Human DynamicsEuropean Conference on Computer Vision (ECCV), 2020
Petrissa Zell
Bodo Rosenhahn
Bastian Wandt
199
19
0
17 Jul 2020
IQ-VQA: Intelligent Visual Question Answering
IQ-VQA: Intelligent Visual Question Answering
Vatsal Goel
Mohit Chandak
A. Anand
Prithwijit Guha
160
5
0
08 Jul 2020
Large-Scale Adversarial Training for Vision-and-Language Representation
  Learning
Large-Scale Adversarial Training for Vision-and-Language Representation LearningNeural Information Processing Systems (NeurIPS), 2020
Zhe Gan
Yen-Chun Chen
Linjie Li
Chen Zhu
Yu Cheng
Jingjing Liu
ObjDVLM
350
536
0
11 Jun 2020
Rephrasing visual questions by specifying the entropy of the answer
  distribution
Rephrasing visual questions by specifying the entropy of the answer distribution
K. Terao
Toru Tamaki
B. Raytchev
K. Kaneda
S. Satoh
OOD
156
2
0
10 Apr 2020
More Bang for Your Buck: Natural Perturbation for Robust Question
  Answering
More Bang for Your Buck: Natural Perturbation for Robust Question Answering
Daniel Khashabi
Tushar Khot
Ashish Sabharwal
AAMLOOD
155
4
0
09 Apr 2020
Generating Rationales in Visual Question Answering
Generating Rationales in Visual Question Answering
Hammad A. Ayyubi
Md. Mehrab Tanjim
Julian McAuley
G. Cottrell
LRM
139
6
0
04 Apr 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Counterfactual Samples Synthesizing for Robust Visual Question AnsweringComputer Vision and Pattern Recognition (CVPR), 2020
Long Chen
Xin Yan
Jun Xiao
Hanwang Zhang
Shiliang Pu
Yueting Zhuang
OODAAML
375
319
0
14 Mar 2020
Unshuffling Data for Improved Generalization
Unshuffling Data for Improved GeneralizationIEEE International Conference on Computer Vision (ICCV), 2020
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
245
82
0
27 Feb 2020
A Survey on Causal Inference
A Survey on Causal InferenceACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
274
611
0
05 Feb 2020
SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions
SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions
Ramprasaath R. Selvaraju
Purva Tendulkar
Devi Parikh
Eric Horvitz
Marco Tulio Ribeiro
Besmira Nushi
Ece Kamar
LRM
160
14
0
20 Jan 2020
What Does My QA Model Know? Devising Controlled Probes using Expert
  Knowledge
What Does My QA Model Know? Devising Controlled Probes using Expert KnowledgeTransactions of the Association for Computational Linguistics (TACL), 2019
Kyle Richardson
Ashish Sabharwal
243
47
0
31 Dec 2019
Improved Surrogates in Inertial Confinement Fusion with Manifold and
  Cycle Consistencies
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle ConsistenciesProceedings of the National Academy of Sciences of the United States of America (PNAS), 2019
Rushil Anirudh
Jayaraman J. Thiagarajan
P. Bremer
B. Spears
AI4CE
94
44
0
17 Dec 2019
Towards Causal VQA: Revealing and Reducing Spurious Correlations by
  Invariant and Covariant Semantic Editing
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic EditingComputer Vision and Pattern Recognition (CVPR), 2019
Vedika Agarwal
Rakshith Shetty
Mario Fritz
CMLAAML
453
176
0
16 Dec 2019
Multimodal Intelligence: Representation Learning, Information Fusion,
  and Applications
Multimodal Intelligence: Representation Learning, Information Fusion, and ApplicationsIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Chao Zhang
Zichao Yang
Xiaodong He
Li Deng
HAIAI4TS
319
400
0
10 Nov 2019
Embodied Language Grounding with 3D Visual Feature Representations
Embodied Language Grounding with 3D Visual Feature RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Mihir Prabhudesai
H. Tung
Syed Ashar Javed
Maximilian Sieb
Adam W. Harley
Katerina Fragkiadaki
224
26
0
02 Oct 2019
On Incorporating Semantic Prior Knowledge in Deep Learning Through
  Embedding-Space Constraints
On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
NAI
206
9
0
30 Sep 2019
Sunny and Dark Outside?! Improving Answer Consistency in VQA through
  Entailed Question Generation
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Arijit Ray
Karan Sikka
Ajay Divakaran
Stefan Lee
Giedrius Burachas
165
67
0
10 Sep 2019
LXMERT: Learning Cross-Modality Encoder Representations from
  Transformers
LXMERT: Learning Cross-Modality Encoder Representations from TransformersConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Hao Hao Tan
Joey Tianyi Zhou
VLMMLLM
741
2,755
0
20 Aug 2019
Trends in Integration of Vision and Language Research: A Survey of
  Tasks, Datasets, and Methods
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and MethodsJournal of Artificial Intelligence Research (JAIR), 2019
Aditya Mogadala
M. Kalimuthu
Dietrich Klakow
VLM
404
142
0
22 Jul 2019
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic
  Matching and Object Co-segmentation
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Yun-Chun Chen
Yen-Yu Lin
Ming-Hsuan Yang
Jia-Bin Huang
226
50
0
13 Jun 2019
Learning to Generate Grounded Visual Captions without Localization
  Supervision
Learning to Generate Grounded Visual Captions without Localization Supervision
Chih-Yao Ma
Yannis Kalantidis
Ghassan AlRegib
Peter Vajda
Marcus Rohrbach
Z. Kira
SSL
385
10
0
01 Jun 2019
Self-Critical Reasoning for Robust Visual Question Answering
Self-Critical Reasoning for Robust Visual Question AnsweringNeural Information Processing Systems (NeurIPS), 2019
Jialin Wu
Raymond J. Mooney
OODNAI
233
170
0
24 May 2019
Challenges and Prospects in Vision and Language Research
Challenges and Prospects in Vision and Language Research
Kushal Kafle
Robik Shrestha
Christopher Kanan
191
42
0
19 Apr 2019
VQA with no questions-answers training
VQA with no questions-answers trainingComputer Vision and Pattern Recognition (CVPR), 2018
B. Vatashsky
S. Ullman
220
13
0
20 Nov 2018
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
1.1K
3,793
0
02 Dec 2016
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