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Single-Query Person-Centric Bimanual Hand-Object Interaction Detection
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multimodalreasoningpose estimation
2609.12155
Builder Relevance
1h ago80%
Abstract
This paper presents a person-centric approach to detecting bi-manual interactions by predicting a structured output for one person, improving the understanding of hand-object interactions.
Reality Card
Core Claim
The proposed method improves person-level bi-manual interaction parsing by using a single query to capture the full person structure, unifying detection and interaction reasoning.
Method / Result
The transformer-based detector shows improved performance in parsing bi-manual interactions.
Limitations
The dataset is COCO-based with specific annotations, which may limit generalizability to other datasets or real-world scenarios.
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