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Vision-and-Language Navigation (VLN) is a natural language grounding task where agents have to interpret natural language instructions in the context of visual scenes in a dynamic environment to achieve prescribed navigation goals.
Learning to follow directions in street view
Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, and Raia Hadsell Keith Anderson. 2019 · 1903
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Bidirectional recurrent neural networks
Mike Schuster and Kuldip K. Paliwal. 1997 · 1997
Earlier work this paper cites.
Walk the talk: Connecting language, knowledge, action in route instructions
Matt MacMahon, Brian Stankiewicz, and Benjamin Kuipers. 2006 · 2006
Earlier work this paper cites.
Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009
Earlier work this paper cites.
Grounded language learning from video described with sentences
Haonan Yu and Jeffrey Mark Siskind. 2013 · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. 2014 · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Learning fine-grained image similarity with deep ranking
Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, and Ying Wu. 2014 · 2014
Cited alongside, same era.
Visualizing and understanding convolutional networks
Matthew D. Zeiler and Rob Fergus. 2014 · 2014
Cited alongside, same era.
Microsoft COCO captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, and C. Lawrence Zitnick. 2015 · 2015
Cited alongside, same era.
Touchdown: Natural language navigation and spatial reasoning in visual street environments
Howard Chen, Alane Suhr, Dipendra Kumar Misra, Noah Snavely, and Yoav Artzi. 2018 · 2018
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Following formulaic map instructions in a street simulation environment
Volkan Cirik, Yuan Zhang, and Jason Baldridge. 2018 · 2018
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Speaker-follower models for vision-and-language navigation
Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, and Trevor Darrell. 2018 · 2018
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Jointly discovering visual objects and spoken words from raw sensory input
David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, and James R. Glass. 2018 · 2018
Later among the works it cites.
Talk the walk: Navigating new york city through grounded dialogue
Harm de Vries, Kurt Shuster, Dhruv Batra, Devi Parikh, Jason Weston, and Douwe Kiela. 2018 · 2018
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Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. 2017 · 2015
Cited alongside, same era.
On evaluation of embodied navigation agents
Peter Anderson, Angel Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, and Amir R. Zamir. 2018a
Cited in the paper.
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian Reid, Stephen Gould, and Anton van den Hengel. 2018b
Cited in the paper.
Self-monitoring navigation agent via auxiliary progress estimation
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, and Caiming Xiong. 2019a
Cited in the paper.
The regretful agent: Heuristic-aided navigation through progress estimation
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, and Zsolt Kira. 2019b
Cited in the paper.
Xin Wang, Qiuyuan Huang, Asli Çelikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, and Lei Zhang. 2018a
Cited in the paper.
Later among the works it cites.
Look before you leap: Bridging model-free and model-based reinforcement learning for planned-ahead vision-and-language navigation
Xin Wang, Wenhan Xiong, Hongmin Wang, and William Yang Wang. 2018b · 2018
Later among the works it cites.