RxR-CE
Emerging5papers using it
2023first seen
The 'RxR-CE' dataset/benchmark contains a collection of vision-language navigation tasks designed to evaluate agents' ability to follow natural language instructions in 3D environments.
Papers using RxR-CE (5)
- SpaceVLN: A Zero-Shot Vision-and-Language Navigation Agent with Online Spatial Cognitive Memory and ReasoningLatentPilot: Scene-Aware Vision-and-Language Navigation by Dreaming Ahead with Latent Visual ReasoningMapDream: Task-Driven Map Learning for Vision-Language NavigationEfficient-VLN: A Training-Efficient Vision-Language Navigation ModelETPNav: Evolving Topological Planning for Vision-Language Navigation in
Continuous Environments