Method

Homogeneous BEN Distillation [HBD]
[Anonymous Submission]

Submitted on 14 Jan. 2022 03:22 by
[Anonymous Submission]

Running time:0.12 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Homogeneous BEN Distillation
Parameters:
Same as baseline.
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) 93.13 % 82.64 % 75.14 %
Car (Orientation) 92.90 % 82.21 % 74.66 %
Car (3D Detection) 21.71 % 15.17 % 13.06 %
Car (Bird's Eye View) 29.87 % 20.91 % 18.22 %
Pedestrian (Detection) 44.66 % 31.99 % 28.21 %
Pedestrian (Orientation) 32.76 % 23.04 % 20.21 %
Pedestrian (3D Detection) 13.47 % 8.33 % 6.99 %
Pedestrian (Bird's Eye View) 15.26 % 9.66 % 8.17 %
Cyclist (Detection) 35.65 % 24.75 % 22.00 %
Cyclist (Orientation) 18.96 % 12.27 % 11.19 %
Cyclist (3D Detection) 2.45 % 1.24 % 1.22 %
Cyclist (Bird's Eye View) 3.15 % 1.64 % 1.76 %
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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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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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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