ESceme: Vision-and-Language Navigation with Episodic Scene Memory
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Abstract (arXiv)
Vision-and-language navigation (VLN) simulates a visual agent that follows natural-language navigation instructions in real-world scenes. Existing approaches have made enormous progress in navigation in new environments, such as beam search, pre-exploration, and dynamic or hierarchical history encoding. To balance generalization and efficiency, we resort to memorizing visited scenarios apart from the ongoing route while navigating. In this work, we introduce a mechanism of Episodic Scene memory (ESceme) for VLN that wakes an agent's memories of past visits when it enters the current scene. The episodic scene memory allows the agent to envision a bigger picture of the next prediction. This way, the agent learns to utilize dynamically updated information instead of merely adapting to the current observations. We provide a simple yet effective implementation of ESceme by enhancing the accessible views at each location and progressively completing the memory while navigating. We verify the superiority of ESceme on short-horizon (R2R), long-horizon (R4R), and vision-and-dialog (CVDN) VLN tasks. Our ESceme also wins first place on the CVDN leaderboard. Code is available: urlhttps://github.com/qizhust/esceme.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 52 of its 68 references that are in the map. First posted on arXiv 2 Mar 2023.
Builds on
52 of 68 references.
References · 52
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38 more
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50 most cited of 52 All 52 (JSON)
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Citing papers per year: 2024: 3; 2025: 2; 2026: 4.
9 papers.
- 2024Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Modelscited by 79
- 2024Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigationcited by 34
- 2024TopV-Nav: Unlocking the Top-View Spatial Reasoning Potential of MLLM for Zero-shot Object Navigationcited by 15
- 2025LongFly: Long-Horizon UAV Vision-and-Language Navigation with Spatiotemporal Context Integrationcited by 12
- 2026MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon taskscited by 8
- 2025Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigationcited by 3
- 2026Beyond Textual Knowledge-Leveraging Multimodal Knowledge Bases for Enhancing Vision-and-Language Navigationcited by 0
- 2026Robo-Cortex: A Self-Evolving Embodied Agent via Dual-Grain Cognitive Memory and Autonomous Knowledge Inductioncited by 0
- 2026VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical Visual-Topological Memorycited by 0
- 2026VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical Visual-Topological Memory16 Jul 2026
- 2026Robo-Cortex: A Self-Evolving Embodied Agent via Dual-Grain Cognitive Memory and Autonomous Knowledge Induction18 May 2026
- 2026Beyond Textual Knowledge-Leveraging Multimodal Knowledge Bases for Enhancing Vision-and-Language Navigation27 Mar 2026
- 2026MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks12 Mar 2026
- 2025LongFly: Long-Horizon UAV Vision-and-Language Navigation with Spatiotemporal Context Integration26 Dec 2025
- 2025Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigation9 Oct 2025
- 2024TopV-Nav: Unlocking the Top-View Spatial Reasoning Potential of MLLM for Zero-shot Object Navigation25 Nov 2024
- 2024Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models9 Jul 2024
- 2024Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation14 Jun 2024