Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention

• URL: http://arxiv.org/abs/2410.22306v1
• Date: Tue, 29 Oct 2024 17:52:20 GMT
• Title: Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention
• Authors: Haomeng Zhang, Chiao-An Yang, Raymond A. Yeh,
• Abstract summary: D-LISA is a two-stage approach incorporating three innovations. First, a dynamic vision module that enables a variable and learnable number of box proposals. Second, a dynamic camera positioning that extracts features for each proposal. Third, a language-informed spatial attention module that better reasons over the proposals to output the final prediction.
• Score: 12.203336176170982
• License:
• Abstract: Multi-object 3D Grounding involves locating 3D boxes based on a given query phrase from a point cloud. It is a challenging and significant task with numerous applications in visual understanding, human-computer interaction, and robotics. To tackle this challenge, we introduce D-LISA, a two-stage approach incorporating three innovations. First, a dynamic vision module that enables a variable and learnable number of box proposals. Second, a dynamic camera positioning that extracts features for each proposal. Third, a language-informed spatial attention module that better reasons over the proposals to output the final prediction. Empirically, experiments show that our method outperforms the state-of-the-art methods on multi-object 3D grounding by 12.8% (absolute) and is competitive in single-object 3D grounding.

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