Self-supervised Navigation
Self-Supervised Navigation is a navigational learning framework that acquires spatial understanding and goal-directed movement through internally generated supervisory signals from unlabelled environmental interactions, distinguishing itself from supervised or reinforcement learning approaches by eliminating the need for external annotations or explicit reward functions.
69
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3.5K
Citations
241
Authors
91
Institutions
Publications per year
2017–2026
54
Parents
69
Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta · 2017 · 255 citations
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training
Weituo Hao, Chunyuan Li, Xiujun Li et al. · 2020 · 241 citations
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks
Fengda Zhu, Yi Zhu, Xiaojun Chang et al. · 2020 · 211 citations
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Carnegie Mellon University
Pittsburgh, United States
5 h-index
21 publications
2K citations

University of Freiburg
Freiburg im Breisgau, Germany
4 h-index
12 publications
573 citations
Duke University
Durham, United States
4 h-index
6 publications
1.1K citations
Stanford University
Stanford, United States
3 h-index
17 publications
660 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
10 publications
476 citations
University of Oxford
Oxford, United Kingdom
3 h-index
8 publications
263 citations

Sun Yat-sen University
Guangzhou, China
3 h-index
6 publications
299 citations

Monash University
Melbourne, Australia
3 h-index
5 publications
485 citations
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Repository · 9 publications · 178 citations
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9 publications · 432 citations
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TPAMI · 2 publications · 44 citations
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Conference · 3 publications · 78 citations
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1 publications · 29 citations
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