GLMB-DO

Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Multi-Object TrackingonWildtrack
MOTA· 2020-01-13
70.1
best: 92.6 (MCBLT)
SOTA
A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling arXiv:2001.04118
Object TrackingonWildtrack
MOTA· 2020-01-13
70.1
best: 92.6 (MCBLT)
SOTA
A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling arXiv:2001.04118
Multi-Object TrackingonWildtrack
IDF1· 2020-01-13
72.5
best: 95.6 (MCBLT)
A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling arXiv:2001.04118
Object TrackingonWildtrack
IDF1· 2020-01-13
72.5
best: 95.6 (MCBLT)
A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling arXiv:2001.04118