Method

DetAny3D [DetAny3D]
None

Submitted on 16 May. 2025 17:07 by
Qingsong Yao (Stanford University)

Running time:0.58 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
DetAny3D is a promptable 3D detection foundation
model designed for generalizable 3D object detection
using only monocular images.
Parameters:
None
Latex Bibtex:
None

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) 95.22 % 85.20 % 80.64 %
Car (Orientation) 90.51 % 79.23 % 74.45 %
Car (3D Detection) 26.89 % 18.67 % 15.48 %
Car (Bird's Eye View) 36.71 % 25.83 % 21.94 %
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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