Papers by Yuxuan Kuang

1 papers
OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models (2024.findings-naacl)

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Challenge: Existing methods for object navigation are limited to household datasets with close-set objects, and they lack the ability to generalize to new environments in a zero-shot manner.
Approach: They propose a framework that leverages reasoning abilities of large vision language models to extract proposed objects from natural language instructions that meet the user’s demand.
Outcome: The proposed framework surpasses baselines on all metrics and can be used in a HM3D ObjectNav benchmark.

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