Method

ACF_M [ACF_M]


Submitted on 9 Mar. 2016 09:40 by
Jesse Chuang (NTU)

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Faster ACF
Parameters:
Scale : 3
Approx layer: 8
step:8
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
Pedestrian (Detection) 51.75 % 39.36 % 35.95 %
Pedestrian (Orientation) 47.00 % 35.49 % 32.42 %
Cyclist (Detection) 37.71 % 29.24 % 27.52 %
Cyclist (Orientation) 28.89 % 23.14 % 22.28 %
This table as LaTeX


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



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



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



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




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