RxR-CE
Emerging7papers using it
2025first seen
The 'RxR-CE' dataset/benchmark is used to evaluate Vision-and-Language Navigation (VLN) systems by providing a collection of navigation tasks that involve understanding and interpreting visual and linguistic information in complex environments.
Papers using RxR-CE (7)
- Goal2Pixel: Grounding Goals to Pixels for Vision-Language NavigationSpaceVLN: A Zero-Shot Vision-and-Language Navigation Agent with Online Spatial Cognitive Memory and ReasoningWhat Limits Vision-and-Language Navigation ?SpatialAnt: Autonomous Zero-Shot Robot Navigation via Active Scene Reconstruction and Visual AnticipationMapDream: Task-Driven Map Learning for Vision-Language NavigationOne Agent to Guide Them All: Empowering MLLMs for Vision-and-Language Navigation via Explicit World RepresentationNavForesee: A Unified Vision-Language World Model for Hierarchical Planning and Dual-Horizon Navigation Prediction