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Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation

AAAI 2023 · Vision-language and multimodal › Robot action and navigation · approach: Reasoning-enhanced vision-language navigation · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add AACL to DUETDUET · R2R Val UnseenSR: 72 -> 74Helped
Add AACL to DUETDUET · REVERIE Val UnseenSR: 46.98 -> 49.42Helped
Add AACL to HAMTHAMT · R2R-Last Val UnseenSR: 45.2 -> 47.2Helped
Add actional atomic concepts using separate embeddings (ablation)HAMT-based AACL · R2R Val UnseenSR: 66.67 -> 67.94Helped
Add observation contrast (ablation)AACL without contrast · R2R Val UnseenSPL: 61.48 -> 62.33Helped
Add concept refining adapter (ablation)AACL without refine · R2R Val UnseenSR: 67.82 -> 68.54Helped
Use 1 object concept instead of 5 (ablation)AACL · R2R Val UnseenSR: 67.94 -> 67.52Hurt
Use 10 object concepts instead of 5 (ablation)AACL · R2R Val UnseenSR: 67.94 -> 66.88Hurt
Use action and object concepts together instead of object concepts only (ablation)AACL · R2R Val UnseenSR: 66.37 -> 67.94Helped
Use action and object concepts together instead of action concepts only (ablation)AACL · R2R Val UnseenSR: 67.13 -> 67.94Helped

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