Method

CAT2：contex-aware transformer wiht implicit neural representation for 3D point cloud annotation [CAT2]
[Anonymous Submission]

Submitted on 15 Jul. 2023 04:06 by
[Anonymous Submission]

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

Method Description:
CAT2
Parameters:
weights： 3000000
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) 95.77 % 92.37 % 87.27 %
Car (Orientation) 95.68 % 91.97 % 86.71 %
Car (3D Detection) 84.84 % 75.33 % 70.07 %
Car (Bird's Eye View) 91.13 % 85.90 % 80.81 %
This table as LaTeX

2D object detection results.
This figure as: png eps txt gnuplot



Orientation estimation results.
This figure as: png eps txt gnuplot



3D object detection results.
This figure as: png eps txt gnuplot



Bird's eye view results.
This figure as: png eps txt gnuplot




eXTReMe Tracker