Attention on Attention: Architectures for Visual Question Answering (VQA)

Glove: Global vectors for word representation

Jeffrey Pennington, Richard Socher, and Christopher Manning · 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

Earlier work this paper cites.

Ask me anything: Dynamic memory networks for natural language processing

Original

Ankit Kumar, Ozan Irsoy, Jonathan Su, James Bradbury, Robert English, Brian Pierce, Peter Ondruska, Ishaan Gulrajani, and Richard Socher · 2015

Earlier work this paper cites.

Show, attend and tell: Neural image caption generation with visual attention

Original

Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, and Yoshua Bengio · 2015

Cited alongside, same era.

Show and tell: Lessons learned from the 2015 MSCOCO image captioning challenge

Original

Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2016

Cited alongside, same era.

Dynamic memory networks for visual and textual question answering

Original

Caiming Xiong, Stephen Merity, and Richard Socher · 2016

Cited alongside, same era.

Bottom-up and top-down attention for image captioning and vqa

Original

Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2017

Later among the works it 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

Later among the works it cites.

Tips and tricks for visual question answering: Learnings from the 2017 challenge

Original

Damien Teney, Peter Anderson, Xiaodong He, and Anton van den Hengel · 2017

Later among the works it cites.