Method

Patch - Ensemble Multiple Proposals [la] [Patches - EMP]


Submitted on 28 Feb. 2019 05:21 by
Johannes Lehner (JKU Linz)

Running time:0.5 s
Environment:GPU @ 2.5 Ghz (Python)

Method Description:
An ensemble version of our model. The predictions
from three individual models are combined. Then
Non-
Maximum Suppression with an IoU-threshold of 0.7
is
applied.

master thesis:
https://tinyurl.com/y48vuxxs
Parameters:
TBD
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) 94.64 % 89.55 % 88.02 %
Car (Orientation) 94.61 % 89.43 % 87.81 %
Car (3D Detection) 87.85 % 77.20 % 72.78 %
Car (Bird's Eye View) 89.96 % 87.45 % 83.63 %
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



3D 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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