ZIZOM:

MOT17-01


Benchmark:

Short name:

ZIZOM

Description:

n/a

Reference:

C. Lin, L. Jiwen, G. Wang, J. Zhou. Graininess-Aware Deep Feature Learning for Pedestrian Detection. In ECCV, 2018.

Last submitted:

May 28, 2018 (2 years ago)

Published:

May 29, 2018 at 05:46:21 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

1080Ti

Runtime:

2.4 Hz

Benchmark performance:

Sequence AP MODA MODP FAF TP FP FN Recall Precision F1
MOT17Det0.8172.079.82.295,41412,99019,13983.388.085.6

Detailed performance:

Sequence AP MODA MODP FAF TP FP FN Recall Precision F1
MOT17-010.7939.278.63.83,3491,72280480.666.072.6
MOT17-030.8286.280.00.659,5428428,54487.598.692.7
MOT17-060.7963.579.11.27,0401,4861,70380.582.681.5
MOT17-070.7275.380.70.97,3814281,85679.994.586.6
MOT17-080.8272.784.91.04,78061295583.388.685.9
MOT17-120.7027.380.22.94,0782,6071,31175.761.067.6
MOT17-140.6830.176.07.19,2445,2933,87370.563.666.9

Raw data: