Method

FII-CenterNet [FII-CenterNet]


Submitted on 8 May. 2020 04:49 by
Siqi Fan (Institute of Automation, CAS)

Running time:0.09 s
Environment:GPU @ 2.5 Ghz (Python)

Method Description:
TBD
Parameters:
TBD
Latex Bibtex:
TBD

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) 94.48 % 91.03 % 83.00 %
Pedestrian (Detection) 81.32 % 67.31 % 61.29 %
Cyclist (Detection) 79.04 % 66.54 % 57.76 %
This table as LaTeX


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



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



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




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