F_ViPeD_B: 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.
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:
MOT17Det |
Short name:
F_ViPeD_B
Description:
Reference:
L. Ciampi, N. Messina, F. Falchi, C. Gennaro, G. Amato. Virtual to Real Adaptation of Pedestrian Detectors. In Sensors, 2020.
Last submitted:
December 12, 2019 (4 years ago)
Published:
December 12, 2019 at 11:45:22 CET
Submissions:
1
Project page / code:
Open source:
Yes
Hardware:
RTX 2080Ti
Runtime:
14.8 Hz
Benchmark performance:
| Sequence | AP | MODA | MODP | FAF | TP | FP | FN | Rcll | Prcn | F1 |
| MOT17Det | 0.89 | -14.4 | 77.4 | 20.8 | 106,698 | 123,194 | 7,831 | 93.2 | 46.4 | 62.0 |
Detailed performance:
| Sequence | AP | MODA | MODP | FAF | TP | FP | FN | Rcll | Prcn | F1 |
| MOT17-01 | 0.75 | -173.9 | 74.4 | 23.9 | 3,491 | 10,734 | 675 | 83.8 | 24.5 | 38.0 |
| MOT17-03 | 0.91 | 69.8 | 77.1 | 11.5 | 64,831 | 17,279 | 3,291 | 95.2 | 79.0 | 86.3 |
| MOT17-06 | 0.85 | -68.0 | 78.3 | 11.6 | 7,960 | 13,910 | 789 | 91.0 | 36.4 | 52.0 |
| MOT17-07 | 0.89 | -122.3 | 78.4 | 40.6 | 8,953 | 20,277 | 307 | 96.7 | 30.6 | 46.5 |
| MOT17-08 | 0.89 | -320.2 | 83.0 | 38.2 | 5,469 | 23,865 | 276 | 95.2 | 18.6 | 31.2 |
| MOT17-12 | 0.79 | -216.3 | 80.3 | 18.1 | 4,596 | 16,264 | 798 | 85.2 | 22.0 | 35.0 |
| MOT17-14 | 0.76 | -72.3 | 75.3 | 27.8 | 11,398 | 20,865 | 1,695 | 87.1 | 35.3 | 50.3 |
Raw data:
