Reproduce “CLOSER: Evidence-Aware Active Visual Verification for Embodied Object-Goal Navigation” on OpenResearch

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About this paper

Pengying Wu, Mingye Jiang, Yunze Hu, Zhejia Wen, Kangjie Zhou, Zongru Yang, Zhe Peng, Chang Liu

CLOSER lets object-goal agents defer uncertain detections, approach candidates, and reassess them from additional views. It combines a multi-view verifier and approach policy. Across eight systems and three simulated datasets, it improves success rate and path-weighted success in all 24 comparisons, averaging 3.6 and 2.0 percentage points. Physical-world evidence is limited to verification demonstrations.

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