Benchmark:
Short name:
STCNTracker
Description:
Reference:
A. Athar, J. Luiten, P. Voigtlaender, T. Khurana, A. Dave, B. Leibe, D. Ramanan. BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. In WACV, 2023.
Last submitted:
March 20, 2023 (1 year ago)
Published:
March 20, 2023 at 14:15:47 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
1x RTX 3090
Runtime:
1.0 Hz
Benchmark performance:
Sequence | HOTAall | DetAall | AssAall | HOTAcom | DetAcom | AssAcom | HOTAunc | DetAunc | AssAunc |
TAO Long-Tail | 4.5 | 5.4 | 4.6 | 17.1 | 19.6 | 16.7 | 2.0 | 2.6 | 2.2 |
Detailed performance:
Sequence | HOTAall | DetAall | AssAall | HOTAcom | DetAcom | AssAcom | HOTAunc | DetAunc | AssAunc |
BURST_test | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Raw data: