Fair: A simple baseline for multi-object tracking

MOT20-04


Benchmark:

Short name:

Fair

Detector:

Private

Description:

n/a

Reference:

Y. Zhang, C. Wang, X. Wang, W. Zeng, W. Liu. FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking. In arXiv preprint arXiv:2004.01888, 2020.

Last submitted:

August 06, 2020 (9 months ago)

Published:

March 02, 2020 at 03:05:09 CET

Submissions:

4

Project page / code:

Open source:

Yes

Hardware:

RTX2080ti

Runtime:

13.2 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MOTP MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2061.867.354.678.6855 (68.8)94 (7.6)103,44088,90182.880.654.754.760.771.167.365.681.123.15,243 (63.3)7,874 (95.1)

Detailed performance:

Sequence MOTA IDF1 HOTA MOTP MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT20-0481.380.864.379.65562025,96423,94091.390.662.965.868.976.774.574.082.212.51,4722,452
MOT20-0638.549.941.476.61344542,38436,74472.369.439.543.845.160.558.356.179.142.02,4573,238
MOT20-0775.670.056.779.68512,9884,77085.690.552.961.558.971.369.673.681.85.1333445
MOT20-0827.049.541.277.2802832,10423,44769.762.743.639.350.263.056.250.879.739.89811,739

Raw data: