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The Embodied AI community has made significant strides in visual navigation tasks, exploring targets from 3D coordinates, objects, language descriptions, and images.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” in
2016
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Springer International Publishing, 2016
A. R. Zamir, T. Wekel, P. Agrawal, C. Wei, J. Malik, and S. Savarese, · 2016
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Y. Zhu, R. Mottaghi, E. Kolve, J. J. Lim, A. Gupta, L. Fei-Fei, and A. Farhadi, “Target-driven visual navigation in indoor scenes using deep reinforcement learning,” in
2017
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A. Chang, A. Dai, T. Funkhouser, M. Halber, M. Nießner, M. Savva, S. Song, A. Zeng, and Y. Zhang, “Matterport3d: Learning from rgb-d data in indoor environments,” 2017
2017
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P. Anderson, A. Chang, D. S. Chaplot, A. Dosovitskiy, S. Gupta, V. Koltun, J. Kosecka, J. Malik, R. Mottaghi, M. Savva,
2018
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P. Anderson, Q. Wu, D. Teney, J. Bruce, M. Johnson, N. Sünderhauf, I. Reid, S. Gould, and A. Van Den Hengel, “Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,” in
2018
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A. Das, S. Datta, G. Gkioxari, S. Lee, D. Parikh, and D. Batra, “Embodied Question Answering,” in
2018
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P. Anderson, Q. Wu, D. Teney, J. Bruce, M. Johnson, N. Sünderhauf, I. Reid, S. Gould, and A. van den Hengel, “Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments,” in
2018
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2018
Earlier work this paper cites.
Z. Li and N. Snavely, “Megadepth: Learning single-view depth prediction from internet photos,” 2018
2018
Earlier work this paper cites.
M. Wortsman, K. Ehsani, M. Rastegari, A. Farhadi, and R. Mottaghi, “Learning to learn how to learn: Self-adaptive visual navigation using meta-learning,” in
2019
Earlier work this paper cites.
E. Wijmans, A. Kadian, A. Morcos, S. Lee, I. Essa, D. Parikh, M. Savva, and D. Batra, “Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames,” in
2019
Earlier work this paper cites.
M. Savva, A. Kadian, O. Maksymets, Y. Zhao, E. Wijmans, B. Jain, J. Straub, J. Liu, V. Koltun, J. Malik,
2019
Earlier work this paper cites.
J. Devlin, M. Chang, K. Lee, and K. Toutanova, “BERT: pre-training of deep bidirectional transformers for language understanding,” in
2019
Earlier work this paper cites.
D. Batra, A. Gokaslan, A. Kembhavi, O. Maksymets, R. Mottaghi, M. Savva, A. Toshev, and E. Wijmans, “Objectnav revisited: On evaluation of embodied agents navigating to objects,”
2020
Earlier work this paper cites.
C. Chen, U. Jain, C. Schissler, S. V. A. Gari, Z. Al-Halah, V. K. Ithapu, P. Robinson, and K. Grauman, “Soundspaces: Audio-visual navigation in 3d environments,” in
2020
Earlier work this paper cites.
D. S. Chaplot, D. Gandhi, A. Gupta, and R. Salakhutdinov, “Object goal navigation using goal-oriented semantic exploration,” in
2020
Earlier work this paper cites.
J. Ye, D. Batra, E. Wijmans, and A. Das, “Auxiliary tasks speed up learning pointgoal navigation,” in
2020
Earlier work this paper cites.
S. K. Ramakrishnan, Z. Al-Halah, and K. Grauman, “Occupancy anticipation for efficient exploration and navigation,” in
2020
Earlier work this paper cites.
M. Deitke, W. Han, A. Herrasti, A. Kembhavi, E. Kolve, R. Mottaghi, J. Salvador, D. Schwenk, E. VanderBilt, M. Wallingford,
2020
Earlier work this paper cites.
D. S. Chaplot, R. Salakhutdinov, A. Gupta, and S. Gupta, “Neural topological slam for visual navigation,” in
2020
Earlier work this paper cites.
Y. Qi, Q. Wu, P. Anderson, X. Wang, W. Y. Wang, C. Shen, and A. v. d. Hengel, “Reverie: Remote embodied visual referring expression in real indoor environments,” in
2020
Earlier work this paper cites.
P.-E. Sarlin, D. DeTone, T. Malisiewicz, and A. Rabinovich, “SuperGlue: Learning feature matching with graph neural networks,” in
2020
Earlier work this paper cites.
M. Shridhar, J. Thomason, D. Gordon, Y. Bisk, W. Han, R. Mottaghi, L. Zettlemoyer, and D. Fox, “ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks,” in
2020
Cited alongside, same era.
S. Wani, S. Patel, U. Jain, A. X. Chang, and M. Savva, “Multion: Benchmarking semantic map memory using multi-object navigation,” 2020
2020
Cited alongside, same era.
H. Team, “Habitat challenge, 2022.”
2020
Cited alongside, same era.
2020
Cited alongside, same era.
2020
2022
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2022
Later among the works it cites.
A. Majumdar, G. Aggarwal, B. Devnani, J. Hoffman, and D. Batra, “Zson: Zero-shot object-goal navigation using multimodal goal embeddings,” in
2022
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G. Georgakis, B. Bucher, K. Schmeckpeper, S. Singh, and K. Daniilidis, “Learning to map for active semantic goal navigation,” in
2022
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S. Y. Min, D. S. Chaplot, P. Ravikumar, Y. Bisk, and R. Salakhutdinov, “Film: Following instructions in language with modular methods,” in
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Cited alongside, same era.
D. S. Chaplot, S. Gupta, D. Gandhi, A. Gupta, and R. Salakhutdinov, “Learning to explore using active neural mapping,”
2020
Cited alongside, same era.
D. S. Chaplot, H. Jiang, S. Gupta, and A. Gupta, “Semantic curiosity for active visual learning,” in
2020
Cited alongside, same era.
X. Zhao, H. Agrawal, D. Batra, and A. G. Schwing, “The surprising effectiveness of visual odometry techniques for embodied pointgoal navigation,” in
2021
Cited alongside, same era.
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark,
2021
Cited alongside, same era.
M. Hahn, D. S. Chaplot, S. Tulsiani, M. Mukadam, J. M. Rehg, and A. Gupta, “No rl, no simulation: Learning to navigate without navigating,” in
2021
Cited alongside, same era.
J. Ye, D. Batra, A. Das, and E. Wijmans, “Auxiliary tasks and exploration enable objectgoal navigation,” in
2021
Cited alongside, same era.
S. K. Ramakrishnan, A. Gokaslan, E. Wijmans, O. Maksymets, A. Clegg, J. M. Turner, E. Undersander, W. Galuba, A. Westbury, A. X. Chang, M. Savva, Y. Zhao, and D. Batra, “Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embodied AI,” in
2021
Cited alongside, same era.
2022
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G. Sarch, Z. Fang, A. W. Harley, P. Schydlo, M. J. Tarr, S. Gupta, and K. Fragkiadaki, “Tidee: Tidying up novel rooms using visuo-semantic commonsense priors,” in
2022
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A. Khandelwal, L. Weihs, R. Mottaghi, and A. Kembhavi, “Simple but Effective: CLIP Embeddings for Embodied AI,” in
2022
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E. Wijmans, I. Essa, and D. Batra, “Ver: Scaling on-policy rl leads to the emergence of navigation in embodied rearrangement,” 2022
2022
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E. Wijmans, M. Savva, I. Essa, S. Lee, A. S. Morcos, and D. Batra, “Emergence of maps in the memories of blind navigation agents,” in
2022
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X. Zhou, R. Girdhar, A. Joulin, P. Krähenbühl, and I. Misra, “Detecting twenty-thousand classes using image-level supervision,” in
2022
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S. Chen, C. Ge, Z. Tong, J. Wang, Y. Song, J. Wang, and P. Luo, “Adaptformer: Adapting vision transformers for scalable visual recognition,” 2022
2022
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D. Shah, A. Sridhar, N. Dashora, K. Stachowicz, K. Black, N. Hirose, and S. Levine, “ViNT: A foundation model for visual navigation,” in
2023
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K. Yadav, J. Krantz, R. Ramrakhya, S. K. Ramakrishnan, J. Yang, A. Wang, J. Turner, A. Gokaslan, V.-P. Berges, R. Mootaghi, O. Maksymets, A. X. Chang, M. Savva, A. Clegg, D. S. Chaplot, and D. Batra, “Habitat challenge 2023.”
2023
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S. Y. Gadre, M. Wortsman, G. Ilharco, L. Schmidt, and S. Song, “Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation,” in
2023
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J. Krantz, T. Gervet, K. Yadav, A. Wang, C. Paxton, R. Mottaghi, D. Batra, J. Malik, S. Lee, and D. S. Chaplot, “Navigating to objects specified by images,” in
2023
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K. Yadav, A. Majumdar, R. Ramrakhya, N. Yokoyama, A. Baevski, Z. Kira, O. Maksymets, and D. Batra, “Ovrl-v2: A simple state-of-art baseline for imagenav and objectnav,”
2023
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P. Weinzaepfel, T. Lucas, V. Leroy, Y. Cabon, V. Arora, R. Brégier, G. Csurka, L. Antsfeld, B. Chidlovskii, and J. Revaud, “CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow,” in
2023
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Y. Jiang, A. Gupta, Z. Zhang, G. Wang, Y. Dou, Y. Chen, L. Fei-Fei, A. Anandkumar, Y. Zhu, and L. Fan, “Vima: General robot manipulation with multimodal prompts,” in
2023
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N. Yokoyama, R. Ramrakhya, A. Kutumbaka, A. Das, S. Ha, and D. Batra, “Ovon: Open vocabulary objectgoal navigation benchmark,” 2023
2023
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M. Chang, T. Gervet, M. Khanna, S. Yenamandra, D. Shah, S. Y. Min, K. Shah, C. Paxton, S. Gupta, D. Batra, R. Mottaghi, J. Malik, and D. S. Chaplot, “Goat: Go to any thing,” 2023
2023
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J. Li, D. Li, S. Savarese, and S. Hoi, “BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,” in
2023
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S. Gadre, M. Wortsman, G. Ilharco, L. Schmidt, and S. Song, “Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation,” in
2023
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G. Bono, L. Antsfeld, B. Chidlovskii, P. Weinzaepfel, and C. Wolf, “End-to-end (instance)-image goal navigation through correspondence as an emergent phenomenon,” 2023
2023
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