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Visual Question Answering (VQA) requires a fine-grained and simultaneous understanding of both the visual content of images and the textual content of questions.
Long short-term memory
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Neural machine translation by jointly learning to align and translate
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Mateusz Malinowski and Mario Fritz · 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
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Abc-cnn: An attention based convolutional neural network for visual question answering
Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, and Ram Nevatia · 2015
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Jan K Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio · 2015
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Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Show, attend and tell: Neural image caption generation with visual attention
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Simple baseline for visual question answering
Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, and Rob Fergus · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Multimodal compact bilinear pooling for visual question answering and visual grounding
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Multimodal residual learning for visual qa
Jin-Hwa Kim, Sang-Woo Lee, Donghyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang · 2016
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Hadamard Product for Low-rank Bilinear Pooling
Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang · 2017
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Tips and tricks for visual question answering: Learnings from the 2017 challenge
Damien Teney, Peter Anderson, Xiaodong He, and Anton van den Hengel · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Multi-modal factorized bilinear pooling with co-attention learning for visual question answering
Zhou Yu, Jun Yu, Jianping Fan, and Dacheng Tao · 2017
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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
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
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Hierarchical question-image co-attention for visual question answering
Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh · 2016
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Dual attention networks for multimodal reasoning and matching
Hyeonseob Nam, Jung-Woo Ha, and Jeonghee Kim · 2016
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Where to look: Focus regions for visual question answering
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Stacked attention networks for image question answering
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Mutan: Multimodal tucker fusion for visual question answering
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
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Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, and Yonghui Wu · 2018
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Bilinear attention networks
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Improved fusion of visual and language representations by dense symmetric co-attention for visual question answering
Duy-Kien Nguyen and Takayuki Okatani · 2018
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Beyond bilinear: Generalized multimodal factorized high-order pooling for visual question answering
Zhou Yu, Jun Yu, Chenchao Xiang, Jianping Fan, and Dacheng Tao · 2018
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Rethinking diversified and discriminative proposal generation for visual grounding
Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, and Dacheng Tao · 2018
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Learning to count objects in natural images for visual question answering
Yan Zhang, Jonathon Hare, and Adam Prügel-Bennett · 2018
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Open-ended long-form video question answering via adaptive hierarchical reinforced networks
Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, and Yueting Zhuang · 2018
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