Method Details

Details for method 'iFlytek-ZBGKRD-fcos3d-depth-norm'


Method overview

name iFlytek-ZBGKRD-fcos3d-depth-norm
challenge 3D vehicle detection
publication Anonymous
project page / code
used Cityscapes data fine annotations, 3D bounding boxes
used external data
runtime n/a
subsampling no
submission date August, 2021
previous submissions


Average results

Metric Value
Detection Score 42.936
AP 47.5769
Center Distance 96.5855
Size Similarity 80.3611
Orientation Similarity Yaw 80.371
Orientation Similarity Pitch Roll 99.965


Class results

Class Detection Score
car 75.8405
truck 33.2838
bus 41.7388
train 23.6409
motorcycle 39.6093
bicycle 43.5026


Results json

This json can be visualized using the tool csPlot3dDetectionResults, which is part of the cityscapesScripts found on Github.



Download results as .csv file

Benchmark page