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Vision-and-language navigation requires an agent to navigate through a real 3D environment following natural language instructions.
Effective and general evaluation for instruction conditioned navigation using dynamic time warping
Gabriel Magalhaes, Vihan Jain, Alexander Ku, Eugene Ie, and Jason Baldridge. 2019 · 1907
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu. 2016 · 1937
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A learning algorithm for continually running fully recurrent neural networks
Ronald J Williams and David Zipser. 1989 · 1989
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. 2015 · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niebner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang. 2017 · 2017
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Tall: Temporal activity localization via language query
Jiyang Gao, Chen Sun, Zhenheng Yang, and Ram Nevatia. 2017 · 2017
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High-order attention models for visual question answering
Idan Schwartz, Alexander Schwing, and Tamir Hazan. 2017 · 2017
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Finding beans in burgers: Deep semantic-visual embedding with localization
Martin Engilberge, Louis Chevallier, Patrick Pérez, and Matthieu Cord. 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
Cited alongside, same era.
Attend and interact: Higher-order object interactions for video understanding
Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, and Hans Peter Graf. 2018 · 2018
Cited alongside, same era.
Universal dependency parsing from scratch
Peng Qi, Timothy Dozat, Yuhao Zhang, and Christopher D Manning. 2018 · 2018
Cited alongside, same era.
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. 2018 · 2018
Cited alongside, same era.
Mattnet: Modular attention network for referring expression comprehension
Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, and Tamara L Berg. 2018 · 2018
Cited alongside, same era.
Stay on the path: Instruction fidelity in vision-and-language navigation
Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie, and Jason Baldridge. 2019 · 2019
Later among the works it cites.
Tactical rewind: Self-correction via backtracking in vision-and-language navigation
Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, and Siddhartha Srinivasa. 2019 · 2019
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Embodied vision-and-language navigation with dynamic convolutional filters
Federico Landi, Lorenzo Baraldi, Massimiliano Corsini, and Rita Cucchiara. 2019 · 2019
Later among the works it cites.
Learning to navigate unseen environments: Back translation with environmental dropout
Hao Tan, Licheng Yu, and Mohit Bansal. 2019 · 2019
Later among the works it cites.
Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, and Lei Zhang. 2019 · 2019
Later among the works it cites.
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Touchdown: Natural language navigation and spatial reasoning in visual street environments
Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, and Yoav Artzi. 2019 · 2019
Cited alongside, same era.
Show, control and tell: A framework for generating controllable and grounded captions
Marcella Cornia, Lorenzo Baraldi, and Rita Cucchiara. 2019 · 2019
Cited alongside, same era.
Are you looking? grounding to multiple modalities in vision-and-language navigation
Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, and Kate Saenko. 2019 · 2019
Cited alongside, same era.
Transferable representation learning in vision-and-language navigation
Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhaes, Jason Baldridge, and Eugene Ie. 2019 · 2019
Cited alongside, same era.
Learning by abstraction: The neural state machine
Drew Hudson and Christopher D Manning. 2019 · 2019
Cited alongside, same era.
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. 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.
Towards learning a generic agent for vision-and-language navigation via pre-training
Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, and Jianfeng Gao. 2020 · 2020
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Learning to generate grounded visual captions without localization supervision
Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, and Zsolt Kira. 2020 · 2020
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Proposal-free temporal moment localization of a natural-language query in video using guided attention
Cristian Rodriguez, Edison Marrese-Taylor, Fatemeh Sadat Saleh, Hongdong Li, and Stephen Gould. 2020 · 2020
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
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