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Existing Visual Question Answering (VQA) methods tend to exploit dataset biases and spurious statistical correlations, instead of producing right answers for the right reasons.
The significance of the difference between two means when the population variances are unequal
Bernard L Welch. 1938 · 1938
Earlier work this paper cites.
VQD: Visual query detection in natural scenes
Manoj Acharya, Karan Jariwala, and Christopher Kanan. 2019a · 1961
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An analysis of visual question answering algorithms
Kushal Kafle and Christopher Kanan. 2017 · 1991
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.
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.
Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015 · 2015
Earlier work this paper cites.
Human attention in visual question answering: Do humans and deep networks look at the same regions?
Abhishek Das, Harsh Agrawal, C Lawrence Zitnick, Devi Parikh, and Dhruv Batra. 2016 · 2016
Earlier work this paper cites.
Human attention in visual question answering: Do humans and deep networks look at the same regions?
Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, and Dhruv Batra. 2017 · 2017
Earlier work this paper cites.
Vqs: Linking segmentations to questions and answers for supervised attention in vqa and question-focused semantic segmentation
Chuang Gan, Yandong Li, Haoxiang Li, Chen Sun, and Boqing Gong. 2017 · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Data augmentation for visual question answering
Kushal Kafle, Mohammed Yousefhussien, and Christopher Kanan. 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.
Rubi: Reducing unimodal biases for visual question answering
Remi Cadene, Corentin Dancette, Matthieu Cord, Devi Parikh, et al. 2019 · 2019
Later among the works it cites.
Adversarial regularization for visual question answering: Strengths, shortcomings, and side effects
Gabriel Grand and Yonatan Belinkov. 2019 · 2019
Later among the works it cites.
GQA: A new dataset for real-world visual reasoning and compositional question answering
Drew A Hudson and Christopher D Manning. 2019 · 2019
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Challenges and prospects in vision and language research
Kushal Kafle, Robik Shrestha, and Christopher Kanan. 2019 · 2019
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Taking a hint: Leveraging explanations to make vision and language models more grounded
Ramprasaath R Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry Heck, Dhruv Batra, and Devi Parikh. 2019 · 2019
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Multimodal explanations: Justifying decisions and pointing to the evidence
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, and Marcus Rohrbach. 2018 · 2018
Cited alongside, same era.
DVQA: Understanding data visualizations via question answering
Kushal Kafle, Brian Price, Scott Cohen, and Christopher Kanan. 2018 · 2018
Cited alongside, same era.
Overcoming language priors in visual question answering with adversarial regularization
Sainandan Ramakrishnan, Aishwarya Agrawal, and Stefan Lee. 2018 · 2018
Cited alongside, same era.
Tallyqa: Answering complex counting questions
Manoj Acharya, Kushal Kafle, and Christopher Kanan. 2019b
Cited in the paper.
Robik Shrestha, Kushal Kafle, and Christopher Kanan. 2019 · 2019
Later among the works it cites.
Self-critical reasoning for robust visual question answering
Jialin Wu and Raymond Mooney. 2019 · 2019
Later among the works it cites.