Method

yolo_like_net [yl_net]


Submitted on 16 Mar. 2019 16:31 by
o nly ( )

Running time:0.03 s
Environment:GPU @ 2.5 Ghz (Python)

Method Description:
a yolo like bev net
Parameters:
batch_size 4
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) 66.08 % 61.01 % 61.29 %
Car (Bird's Eye View) 85.64 % 80.06 % 77.52 %
This table as LaTeX


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



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




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