GNN_SDT: Joint Object Detection and Multi-Object Tracking with Graph Neural Networks


Video not available.

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

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

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

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

Benchmark:

Short name:

GNN_SDT

Description:

Reference:

Y. Wang, X. Weng, K. Kitani. Joint Detection and Multi-Object Tracking with Graph Neural Networks. In arXiv, 2020.

Last submitted:

October 27, 2020 (3 years ago)

Published:

October 31, 2020 at 07:29:49 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

Titan Xp

Runtime:

1.2 Hz

Benchmark performance:

Sequence AP MODA MODP FAF TP FP FN Rcll Prcn F1
MOT20Det0.8179.380.07.1304,23631,67739,28888.690.689.6

Detailed performance:

Sequence AP MODA MODP FAF TP FP FN Rcll Prcn F1
MOT20-040.9087.680.04.9212,16910,12818,56092.095.493.7
MOT20-060.7162.879.69.850,0049,86713,88578.383.580.8
MOT20-070.9084.182.03.115,4991,79579995.189.692.3
MOT20-080.7751.179.712.326,5649,8876,04481.572.976.9

Raw data: