ViPeD20: Virtual Pedestrian Detection 2020
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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.
Rendering of new sequences is currently deactivated due to heavy load.
Rendering of new sequences is currently deactivated due to heavy load.
Benchmark:
MOT20Det |
Short name:
ViPeD20
Description:
Reference:
L. Ciampi, N. Messina, F. Falchi, C. Gennaro, G. Amato. Virtual to Real Adaptation of Pedestrian Detectors. In Sensors, 2020.
Last submitted:
August 07, 2020 (3 years ago)
Published:
August 07, 2020 at 09:48:01 CET
Submissions:
1
Project page / code:
Open source:
Yes
Hardware:
RTX 2080
Runtime:
11.2 Hz
Benchmark performance:
| Sequence | AP | MODA | MODP | FAF | TP | FP | FN | Rcll | Prcn | F1 |
| MOT20Det | 0.80 | 46.0 | 79.0 | 31.1 | 297,101 | 139,111 | 46,277 | 86.5 | 68.1 | 76.2 |
Detailed performance:
Raw data:
