Method

OV-SMoE [OV-SMoE]


Submitted on 26 Jul. 2026 14:36 by
GG Bone (University of Electronic Science and Technology of China)

Running time:0.08 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
We employ open vocabulary to guide the multimodal
fusion and address interference from harsh
environments through voxel-wise experts.
Parameters:
na
Latex Bibtex:
{}

Detailed Results

Object detection and orientation estimation results. Results for object detection are given in terms of average precision (AP) and results for joint object detection and orientation estimation are provided in terms of average orientation similarity (AOS).


Benchmark Easy Moderate Hard
Car (Detection) 98.91 % 95.86 % 90.97 %
Car (Orientation) 98.90 % 95.79 % 90.88 %
Car (3D Detection) 92.20 % 85.36 % 80.59 %
Car (Bird's Eye View) 95.79 % 91.92 % 87.14 %
This table as LaTeX

2D object detection results.
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Orientation estimation results.
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3D object detection results.
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Bird's eye view results.
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