Method

RCNN [RCNN]


Submitted on 25 Nov. 2016 04:44 by
Peilun Li (CMU)

Running time:0.08 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
Just an experiment on RCNN.
Parameters:
NA
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) 84.47 % 65.94 % 51.00 %
Pedestrian (Detection) 58.48 % 42.17 % 34.88 %
Cyclist (Detection) 50.77 % 40.38 % 33.07 %
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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