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Research map / Vision-language and multimodal / Robot action and navigation

Structured Scene Memory for Vision-Language Navigation

CVPR 2021 · Vision-language and multimodal › Robot action and navigation · approach: Reasoning-enhanced vision-language navigation · 116 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add structured scene memory, iterative reasoning, and frontier-exploration decision makingVLN agent · R2R test unseenSR: 0.60 -> 0.61Helped
Add structured scene memory, iterative reasoning, and frontier-exploration decision makingVLN agent · R4R validation seenCLS: 0.60 -> 0.65Helped
Add structured scene memory, iterative reasoning, and frontier-exploration decision makingVLN agent · R4R validation unseenCLS: 0.44 -> 0.53Helped
Add fine-grained instruction grounding (ablation)SSM on R2R validation unseen · R2R validation unseenSR: 0.59 -> 0.62Helped
Add iterative reasoning (ablation)SSM on R2R validation unseen · R2R validation unseenSR: 0.57 -> 0.62Helped
Use global rather than local action space decision making (ablation)SSM on R2R validation unseen · R2R validation unseenSR: 0.54 -> 0.62Helped
Use frontier-exploration rather than global one-step decision making (ablation)SSM on R2R validation unseen · R2R validation unseenSR: 0.56 -> 0.62Helped

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