QDTrackX: Quasi-dense instance similarity learning

MOT20-04


Benchmark:

MOT17 | MOT20 |

Short name:

QDTrackX

Detector:

Private

Description:

https://arxiv.org/abs/2210.06984

Reference:

T. Fischer, J. Pang, T. Huang, L. Qiu, H. Chen, T. Darrell, F. Yu. QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. In arXiv preprint arXiv:2210.06984, 2022.

Last submitted:

June 30, 2022 (3 years ago)

Published:

March 10, 2023 at 21:06:00 CET

Submissions:

3

Project page / code:

n/a

Open source:

No

Hardware:

TITAN RTX

Runtime:

7.5 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2074.773.860.0797 (64.2)162 (13.0)23,352106,31379.594.658.961.465.774.866.479.183.85.21,042 (0.0)1,973 (0.0)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT20-0485.081.366.05203413,64127,14190.194.862.869.570.076.375.779.684.26.6410722
MOT20-0664.765.352.8137683,98942,53568.095.853.152.758.472.656.179.083.04.0350649
MOT20-0776.671.361.08533,3564,25687.189.657.265.564.074.474.876.985.35.7130181
MOT20-0855.058.446.655572,36632,38158.295.048.645.055.969.747.878.082.72.9152421

Raw data: