Method

Multi-Branch Residual module [MBR-SSD]


Submitted on 23 May. 2018 14:26 by
Tao Sheng (Dalian University of Technology)

Running time:4.0 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
Multi-Branch Residual module and SSD
Parameters:
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) 90.32 % 89.82 % 82.28 %
Car (Orientation) 88.10 % 85.03 % 75.92 %
This table as LaTeX


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




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