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Visual Question and Answering (VQA) problems are attracting increasing interest from multiple research disciplines.
Backpropagation applied to handwritten zip code recognition
LeCun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.D.: · 1989
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Long short-term memory
Hochreiter, S., Schmidhuber, J.: · 1997
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
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Distributed representations of words and phrases and their compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: · 2013
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A multi-world approach to question answering about real-world scenes based on uncertain input
Malinowski, M., Fritz, M.: · 2014
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Microsoft coco: Common objects in context
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
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Edge boxes: Locating object proposals from edges
Zitnick, C.L., Dollár, P.: · 2014
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Visual turing test for computer vision systems
Geman, D., Geman, S., Hallonquist, N., Younes, L.: · 2015
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Exploring models and data for image question answering
Ren, M., Kiros, R., Zemel, R.: · 2015
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Are you talking to a machine? dataset and methods for multilingual image question
Gao, H., Mao, J., Zhou, J., Huang, Z., Wang, L., Xu, W.: · 2015
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Ask your neurons: A neural-based approach to answering questions about images
Malinowski, M., Rohrbach, M., Fritz, M.: · 2015
Cited alongside, same era.
Vqa: Visual question answering
Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Lawrence Zitnick, C., Parikh, D.: · 2015
Cited alongside, same era.
Image question answering using convolutional neural network with dynamic parameter prediction
Noh, H., Seo, P.H., Han, B.: · 2015
Cited alongside, same era.
Ask me anything: Free-form visual question answering based on knowledge from external sources
Where to look: Focus regions for visual question answering
Shih, K.J., Singh, S., Hoiem, D.: · 2015
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Abc-cnn: An attention based convolutional neural network for visual question answering
Chen, K., Wang, J., Chen, L.C., Gao, H., Xu, W., Nevatia, R.: · 2015
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Stacked attention networks for image question answering
Yang, Z., He, X., Gao, J., Deng, L., Smola, A.: · 2015
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Ask, attend and answer: Exploring question-guided spatial attention for visual question answering
Xu, H., Saenko, K.: · 2015
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Wu, Q., Wang, P., Shen, C., Hengel, A.v.d., Dick, A.: · 2015
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Learning to answer questions from image using convolutional neural network
Ma, L., Lu, Z., Li, H.: · 2015
Cited alongside, same era.
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: · 2015
Cited alongside, same era.
Simple baseline for visual question answering
Zhou, B., Tian, Y., Sukhbaatar, S., Szlam, A., Fergus, R.: · 2015
Cited alongside, same era.
Jiang, A., Wang, F., Porikli, F., Li, Y.: · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2015
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Multiscale combinatorial grouping for image segmentation and object proposal generation
Pont-Tuset, J., Arbeláez, P., Barron, J., Marques, F., Malik, J.: · 2015
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Deeper lstm and normalized cnn visual question answering model
Jiasen Lu, Xiao Lin, D.B., Parikh, D.: · 2015
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Learning to compose neural networks for question answering
Andreas, J., Rohrbach, M., Darrell, T., Klein, D.: · 2016
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