Room-to-Room
Emerging5papers using it
2019first seen
The 'Room-to-Room' benchmark is used to evaluate Vision-and-Language Navigation (VLN) systems by assessing their ability to interpret natural language instructions and navigate through visually rich, unfamiliar environments.
Papers using Room-to-Room (5)
- A Navigation Framework Utilizing Vision-Language ModelsTowards Learning a Generic Agent for Vision-and-Language Navigation via
Pre-trainingAre You Looking? Grounding to Multiple Modalities in Vision-and-Language
NavigationImproving Cross-Modal Alignment in Vision Language Navigation via
Syntactic InformationStay on the Path: Instruction Fidelity in Vision-and-Language Navigation