Method

LongSF [LongSF]
NA

Submitted on 20 Oct. 2025 11:36 by
Pan Gao (University of Electronic Science and Technology of China)

Running time:0.8 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
we propose Long State Fusion with SSMs (LongSF), the
state-space fusion framework for multimodal 3D
detection.
Parameters:
NA
Latex Bibtex:
@article{LongSF,
title = {LongSF: Long State Fusion with SSMs for
Multimodal 3D Object Detection},
author={},
year = {2025}
}

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) 98.97 % 96.02 % 91.10 %
Car (Orientation) 98.95 % 95.94 % 91.00 %
Car (3D Detection) 92.28 % 85.66 % 80.84 %
Car (Bird's Eye View) 95.93 % 92.24 % 87.39 %
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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