bringmeaspoon.org - Bring Me A Spoon | Matterport3D Simulator and Room-to-Room (R2R) data for Vision-and-Language Navigation

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Description: Matterport3D Simulator and Room-to-Room (R2R) data for Vision-and-Language Navigation

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NEW! Our Vision-and-Language Navigation test server and leaderboard is up on EvalAI.

R2R is the first benchmark dataset for visually-grounded natural language navigation in real buildings. The dataset requires autonomous agents to follow human-generated navigation instructions in previously unseen buildings, as illustrated in the demo above. For training, each instruction is associated with a Matterport3D Simulator trajectory. 22k instructions are available, with an average length of 29 words. There is a test evaluation server for this dataset available at EvalAI .

We are currently setting up a test evaluation server for this dataset.

Links to bringmeaspoon.org (3)

• panderson.me Peter Anderson
• qi-wu.me Qi Wu
• eccv18-vlease.github.io Visual Learning and Embodied Agents in Simulation Environments