Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding

• URL: http://arxiv.org/abs/2503.19240v1
• Date: Tue, 25 Mar 2025 00:59:58 GMT
• Title: Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding
• Authors: Hao Guo, Jianfei Zhu, Wei Fan, Chunzhi Yi, Feng Jiang,
• Abstract summary: Referring expression comprehension aims at achieving object localization based on natural language descriptions.<n>Existing REC approaches are constrained by object category descriptions and single-attribute intention descriptions.<n>We propose Multi-ref EC, a novel framework that integrates state descriptions, derived intentions, and embodied gestures to locate target objects.
• Score: 10.04904999444546
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Referring expression comprehension (REC) aims at achieving object localization based on natural language descriptions. However, existing REC approaches are constrained by object category descriptions and single-attribute intention descriptions, hindering their application in real-world scenarios. In natural human-robot interactions, users often express their desires through individual states and intentions, accompanied by guiding gestures, rather than detailed object descriptions. To address this challenge, we propose Multi-ref EC, a novel task framework that integrates state descriptions, derived intentions, and embodied gestures to locate target objects. We introduce the State-Intention-Gesture Attributes Reference (SIGAR) dataset, which combines state and intention expressions with embodied references. Through extensive experiments with various baseline models on SIGAR, we demonstrate that properly ordered multi-attribute references contribute to improved localization performance, revealing that single-attribute reference is insufficient for natural human-robot interaction scenarios. Our findings underscore the importance of multi-attribute reference expressions in advancing visual-language understanding.

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