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Visual question answering (VQA) models have been shown to over-rely on linguistic biases in VQA datasets, answering questions "blindly" without considering visual context.
Analyzing the Behavior of Visual Question Answering Models
Aishwarya Agrawal, Dhruv Batra, and Devi Parikh. 2016 · 1960
Earlier work this paper cites.
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick. 2017 · 1997
Earlier work this paper cites.
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014 · 2014
Earlier work this paper cites.
VQA: Visual Question Answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
Earlier work this paper cites.
Revisiting Visual Question Answering Baselines
Allan Jabri, Armand Joulin, and Laurens van der Maaten. 2016 · 2016
Earlier work this paper cites.
Stereotyping and Bias in the Flickr30k Dataset
Emiel van Miltenburg. 2016 · 2016
Earlier work this paper cites.
Seeing Through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
Ishan Misra, C Lawrence Zitnick, Margaret Mitchell, and Ross Girshick. 2016 · 2016
Earlier work this paper cites.
Yin and Yang: Balancing and Answering Binary Visual Questions
Peng Zhang, Yash Goyal, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh. 2016 · 2016
Earlier work this paper cites.
Counting Everyday Objects in Everyday Scenes
Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R Selvaraju, Dhruv Batra, and Devi Parikh. 2017 · 2017
Earlier work this paper cites.
Making the V in VQA matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh. 2017 · 2017
Earlier work this paper cites.
Story Cloze Task: UW NLP System
Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, and Noah A. Smith. 2017 · 2017
Cited alongside, same era.
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
Damien Teney, Peter Anderson, Xiaodong He, and Anton van den Hengel. 2018 · 2017
Cited alongside, same era.
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2017 · 2017
Cited alongside, same era.
Don’t Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Aniruddha Kembhavi. 2018 · 2018
Cited alongside, same era.
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, and Lei Zhang. 2018 · 2018
Cited alongside, same era.
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik and Zachary C. Lipton. 2018 · 2018
Later among the works it cites.
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018 · 2018
Later among the works it cites.
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
Sainandan Ramakrishnan, Aishwarya Agrawal, and Stefan Lee. 2018 · 2018
Later among the works it cites.
Interpretable Counting for Visual Question Answering
Alexander Trott, Caiming Xiong, and Richard Socher. 2018 · 2018
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Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment
Masatoshi Tsuchiya. 2018 · 2018
Later among the works it cites.
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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets
Wei-Lun Chao, Hexiang Hu, and Fei Sha. 2018 · 2018
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Cognitive Biases in Crowdsourcing
Carsten Eickhoff. 2018 · 2018
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Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
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Women also Snowboard: Overcoming Bias in Captioning Models
Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, and Anna Rohrbach. 2018 · 2018
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Pythia v0.1: The Winning Entry to the VQA Challenge 2018
Yu Jiang, Vivek Natarajan, Xinlei Chen, Marcus Rohrbach, Dhruv Batra, and Devi Parikh. 2018b · 2018
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Yan Zhang, Jonathon Hare, and Adam Prügel-Bennett. 2018 · 2018
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On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
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