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Transferable Representation Learning in Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) tasks such as Room-to-Room (R2R) require machine agents to interpret natural language instructions and learn to act in visually realistic environments to achieve navigation goals.
Ranked #115 on
Vision and Language Navigation
on VLN Challenge
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation
We also show that the existing paths in the dataset are not ideal for evaluating instruction following because they are direct-to-goal shortest paths.
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