SUSHI: Unifying Short and Long-Term Tracking with Graph Hierarchies


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Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Benchmark:

MOT17 | MOT20 |

Short name:

SUSHI

Detector:

Public

Description:

Reference:

O. Cetintas, G. Brasó, L. Leal-Taixé. Unifying Short and Long-Term Tracking with Graph Hierarchies. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Last submitted:

March 31, 2023 (10 months ago)

Published:

March 31, 2023 at 10:53:36 CET

Submissions:

1

Project page / code:

Open source:

Yes

Hardware:

RTX 8000

Runtime:

5.3 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2061.671.655.4591 (47.6)239 (19.2)29,429168,09867.592.260.650.865.876.755.275.481.86.61,053 (0.0)1,471 (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
MOT20-0481.683.665.34543911,70138,41786.095.365.165.670.777.970.878.482.75.6404562
MOT20-0640.255.842.068959,81869,25347.886.650.435.155.072.038.369.379.49.7376541
MOT20-0760.369.953.344151,32711,70764.694.257.949.362.078.152.877.082.12.3103137
MOT20-0828.446.035.725906,58348,72137.181.446.727.449.973.830.065.879.68.2170231

Raw data: