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Models/GSDT

GSDT

Reported on 8 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Computer Vision8 results

Multi-Object TrackingonMOT20
MOTA· 2020-06-23
67.1
best: 78.2 (SMILEtrack)
SOTA
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks arXiv:2006.13164
Multi-Object Trackingon2D MOT 2015
MOTA· 2020-06-23
60.7
SOTA
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks arXiv:2006.13164
Object TrackingonMOT20
MOTA· 2020-06-23
67.1
best: 78.2 (SMILEtrack)
SOTA
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks arXiv:2006.13164
Object Trackingon2D MOT 2015
MOTA· 2020-06-23
60.7
SOTA
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks arXiv:2006.13164
Multi-Object TrackingonMOT17
MOTA· 2020-06-23
66.2
best: 81.8 (TrackTrack)
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks arXiv:2006.13164
Multi-Object TrackingonMOT16
MOTA· 2020-06-23
66.7
best: 77.7 (PPTracking)
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks arXiv:2006.13164
Object TrackingonMOT17
MOTA· 2020-06-23
66.2
best: 81.8 (TrackTrack)
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks arXiv:2006.13164
Object TrackingonMOT16
MOTA· 2020-06-23
66.7
best: 77.7 (PPTracking)
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks arXiv:2006.13164