Method

DPM with bounding box prediction [MDPM-un-BB]


Submitted on 25 Nov. 2013 23:01 by
Abhishek Sen (TTI Chicago)

Running time:60 s
Environment:4 core @ 2.5 Ghz (MATLAB)

Method Description:
running the DPM algorithm with bounding box prediction. There are
6 viewpoints and 8 parts.
Parameters:
Used the default parameters as DPM version 4 code
Latex Bibtex:
@article{Felzenszwalb10,
author = {Pedro F. Felzenszwalb and Ross B. Girshick and David
McAllester and Deva Ramanan},
title = {Object Detection with Discriminatively Trained Part-Based
Models},
journal ={PAMI},
volume = {32},
year = {2010},
pages = {1627-1645}
}

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) 77.32 % 64.20 % 50.18 %
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