Defoiling Foiled Image Captions

CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning

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Microsoft COCO: Common objects in context

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VQA: Visual question answering

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Déjà image-captions: A corpus of expressive descriptions in repetition

Jianfu Chen, Polina Kuznetsova, David Warren, and Yejin Choi. 2015 · 2015

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Are you talking to a machine? Dataset and methods for multilingual image question

Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, and Wei Xu. 2015 · 2015

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Visual Madlibs: Fill in the blank description generation and question answering

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Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016

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Generating captions without looking beyond objects

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Focused evaluation for image description with binary forced-choice tasks

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”Why should I trust you?” Explaining the predictions of any classifier

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Vision and language integration: Moving beyond objects

Ravi Shekhar, Sandro Pezzelle, Aurelie Herbelot, Moin Nabi, Enver Sangineto, and Raffaella Bernardi. 2017a

Oracle performance for visual captioning

Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, and Bengio Yoshua. 2016 · 2016

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Visual7W: Grounded question aswering in images

Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei. 2016 · 2016

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YOLO9000: Better, Faster, Stronger

Joseph Redmon and Ali Farhadi. 2017 · 2017

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Image captioning and visual question answering based on attributes and external knowledge

Qi Wu, Chunhua Shen, Peng Wang, Anthony Dick, and Anton van den Hengel. 2018 · 2018

Closest in time.