R-4R

The 'R-4R' dataset is used to evaluate vision-and-language navigation tasks by providing a benchmark for agents to navigate environments based on natural language instructions.

Papers using R-4R (7)

PanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation2025 · 9 citesHistory Aware Multimodal Transformer for Vision-and-Language Navigation2021 · 21 citesNeighbor-view Enhanced Model for Vision and Language Navigation2021 · 2 citesESceme: Vision-and-Language Navigation with Episodic Scene Memory2023 · 1 citesMultimodal Attention Networks for Low-Level Vision-and-Language Navigation2019NavHint: Vision and Language Navigation Agent with a Hint Generator2024DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning2024