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GQA~\citep{hudson2019gqa} is a dataset for real-world visual reasoning and compositional question answering.
Gqa: A new dataset for real-world visual reasoning and compositional question answering
Drew A Hudson and Christopher D Manning. 2019 · 1902
Earlier work this paper cites.
Lxmert: Learning cross-modality encoder representations from transformers
Hao Tan and Mohit Bansal. 2019 · 1908
Earlier work this paper cites.
Verbs semantics and lexical selection
Zhibiao Wu and Martha Palmer. 1994 · 1994
Earlier work this paper cites.
WordNet: An electronic lexical database
George A Miller. 1998 · 1998
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Long-tail visual relationship recognition with a visiolinguistic hubless loss
Sherif Abdelkarim, Panos Achlioptas, Jiaji Huang, Boyang Li, Kenneth Church, and Mohamed Elhoseiny. 2020 · 2004
Earlier work this paper cites.
Conceptnet—a practical commonsense reasoning tool-kit
Hugo Liu and Push Singh. 2004 · 2004
Earlier work this paper cites.
Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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A multi-world approach to question answering about real-world scenes based on uncertain input
Mateusz Malinowski and Mario Fritz. 2014 · 2014
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Visual question: Predicting if a crowd will agree on the answer
Danna Gurari and Kristen Grauman. 2016 · 2016
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Make up your mind: Towards consistent answer predictions in vqa models
Arijit Ray, Giedrius T Burachas, Karan Sikka, Anirban Roy, Avi Ziskind, Yi Yao, and Ajay Divakaran. 2018 · 2018
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Visual question answer diversity
Chun-Ju Yang, Kristen Grauman, and Danna Gurari. 2018 · 2018
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Why does a visual question have different answers?
Nilavra Bhattacharya, Qing Li, and Danna Gurari. 2019 · 2019
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Vizwiz-priv: A dataset for recognizing the presence and purpose of private visual information in images taken by blind people
Danna Gurari, Qing Li, Chi Lin, Yinan Zhao, Anhong Guo, Abigale Stangl, and Jeffrey P Bigham. 2019 · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
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