mlsanityData to 7 Oct 2026

NavHint: Vision and Language Navigation Agent with a Hint Generator

arXiv 2402.02559 ↗First posted 4 Feb 2024cs.CLcited by 12

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Abstract (arXiv)

Existing work on vision and language navigation mainly relies on navigation-related losses to establish the connection between vision and language modalities, neglecting aspects of helping the navigation agent build a deep understanding of the visual environment. In our work, we provide indirect supervision to the navigation agent through a hint generator that provides detailed visual descriptions. The hint generator assists the navigation agent in developing a global understanding of the visual environment. It directs the agent's attention toward related navigation details, including the relevant sub-instruction, potential challenges in recognition and ambiguities in grounding, and the targeted viewpoint description. To train the hint generator, we construct a synthetic dataset based on landmarks in the instructions and visible and distinctive objects in the visual environment. We evaluate our method on the R2R and R4R datasets and achieve state-of-the-art on several metrics. The experimental results demonstrate that generating hints not only enhances the navigation performance but also helps improve the interpretability of the agent's actions.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 36 of its 40 references that are in the map. First posted on arXiv 4 Feb 2024.

Builds on

36 of 40 references.

References · 36

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24 more
  1. 2019Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Taskscited by 177
  2. 2019Self-Monitoring Navigation Agent via Auxiliary Progress Estimationcited by 173
  3. 2023ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environmentscited by 165
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  14. 2020Sub-Instruction Aware Vision-and-Language Navigationcited by 64
  15. 2021Less is More: Generating Grounded Navigation Instructions from Landmarkscited by 62
  16. 2021Neighbor-view Enhanced Model for Vision and Language Navigationcited by 50
  17. 2023Improving Vision-and-Language Navigation by Generating Future-View Image Semanticscited by 46
  18. 2023Learning Navigational Visual Representations with Semantic Map Supervisioncited by 40
  19. 2023Lana: A Language-Capable Navigator for Instruction Following and Generationcited by 39
  20. 2021Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Informationcited by 31
  21. 2021Core Challenges in Embodied Vision-Language Planningcited by 30
  22. 2023VLN-Trans: Translator for the Vision and Language Navigation Agentcited by 25
  23. 2021Contrastive Instruction-Trajectory Learning for Vision-Language Navigationcited by 16
  24. 2021Towards Navigation by Reasoning over Spatial Configurationscited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 7; 2025: 2; 2026: 3.

12 papers.