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Embodied Question Answering (EQA) is a recently proposed task, where an agent is placed in a rich 3D environment and must act based solely on its egocentric input to answer a given question.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 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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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Learning spatiotemporal features with 3D convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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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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MovieQA: Understanding Stories in Movies through Question-Answering
Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, and Sanja Fidler · 2016
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Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola · 2016
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Learning to reason: End-to-end module networks for visual question answering
Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Kate Saenko · 2017
Cited alongside, same era.
CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 2017
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AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Daniel Gordon, Yuke Zhu, Abhinav Gupta, and Ali Farhadi · 2017
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MarioQA: Answering Questions by Watching Gameplay Videos
Jonghwan Mun, Paul Hongsuck Seo, Ilchae Jung, and Bohyung Han · 2017
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Semantic Scene Completion from a Single Depth Image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
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Out of the box: Reasoning with graph convolution nets for factual visual question answering
Medhini Narasimhan, Svetlana Lazebnik, and Alexander Schwing · 2018
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From FiLM to Video: Multi-turn Question Answering with Multi-modal Context
Dat Tien Nguyen, Shikhar Sharma, Hannes Schulz, and Layla El Asri · 2018
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Learning conditioned graph structures for interpretable visual question answering
Will Norcliffe-Brown, Stathis Vafeias, and Sarah Parisot · 2018
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FiLM: Visual reasoning with a general conditioning layer
Ethan Perez, Florian Strub, Harm De Vries, Vincent Dumoulin, and Aaron Courville · 2018
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Visual Reasoning with Multi-hop Feature Modulation
Florian Strub, Mathieu Seurin, Ethan Perez, Harm De Vries, Jérémie Mary, Philippe Preux, Aaron Courville, and Olivier Pietquin · 2018
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Damien Teney, Lingqiao Liu, and Anton van den Hengel · 2017
Cited alongside, same era.
Blindfold Baselines for Embodied QA
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, and Aaron Courville · 2018
Cited alongside, same era.
Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, and Aaron Courville · 2018
Cited alongside, same era.
IQA: Visual question answering in interactive environments
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, and Ali Farhadi · 2018
Cited alongside, same era.
Compositional Attention Networks for Machine Reasoning
Drew A Hudson and Christopher D Manning · 2018
Cited alongside, same era.
TVQA: Localized, Compositional Video Question Answering
Jie Lei, Licheng Yu, Mohit Bansal, and Tamara L Berg · 2018
Cited alongside, same era.
Learning visual question answering by bootstrapping hard attention
Mateusz Malinowski, Carl Doersch, Adam Santoro, and Peter Battaglia · 2018
Cited alongside, same era.
Yi Wu, Yuxin Wu, Georgia Gkioxari, and Yuandong Tian · 2018
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MUREL: Multimodal Relational Reasoning for Visual Question Answering
Remi Cadene, Hedi Ben-Younes, Nicolas Thome, and Matthieu Cord · 2019
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GQA: a new dataset for compositional question answering over real-world images
Drew A Hudson and Christopher D Manning · 2019
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Benchmarking Classic and Learned Navigation in Complex 3D Environments
Dmytro Mishkin, Alexey Dosovitskiy, and Vladlen Koltun · 2019
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Habitat: A Platform for Embodied AI Research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, et al · 2019
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Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, and Dhruv Batra · 2019
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Multi-Target Embodied Question Answering
Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, and Dhruv Batra · 2019
Closest in time.