YTLAB:
MOT17-12
Benchmark:
MOT17Det |
Short name:
YTLAB
Description:
Peizhen Zhang, Ye Tao, Xin Dong
Reference:
Z. Cai, Q. Fan, R. Feris, N. Vasconcelos. A unified multi-scale deep convolutional neural network for fast object detection. In European Conference on Computer Vision, 2016.
Last submitted:
April 03, 2018 (6 years ago)
Published:
October 27, 2018 at 04:21:55 CET
Submissions:
2
Project page / code:
n/a
Open source:
No
Hardware:
M40
Runtime:
22.3 Hz
Benchmark performance:
| Sequence | AP | MODA | MODP | FAF | TP | FP | FN | Rcll | Prcn | F1 |
| MOT17Det | 0.89 | 76.7 | 80.2 | 2.8 | 104,555 | 16,685 | 10,009 | 91.3 | 86.2 | 88.7 |
Detailed performance:
| Sequence | AP | MODA | MODP | FAF | TP | FP | FN | Rcll | Prcn | F1 |
| MOT17-01 | 0.82 | 59.6 | 79.7 | 2.8 | 3,741 | 1,259 | 425 | 89.8 | 74.8 | 81.6 |
| MOT17-03 | 0.90 | 86.5 | 80.3 | 3.6 | 64,401 | 5,470 | 3,721 | 94.5 | 92.2 | 93.3 |
| MOT17-06 | 0.81 | 70.7 | 80.3 | 1.4 | 7,860 | 1,674 | 889 | 89.8 | 82.4 | 86.0 |
| MOT17-07 | 0.90 | 79.2 | 81.5 | 2.8 | 8,706 | 1,376 | 554 | 94.0 | 86.4 | 90.0 |
| MOT17-08 | 0.91 | 62.6 | 84.2 | 2.9 | 5,412 | 1,813 | 333 | 94.2 | 74.9 | 83.5 |
| MOT17-12 | 0.79 | 47.8 | 81.2 | 2.0 | 4,419 | 1,838 | 975 | 81.9 | 70.6 | 75.9 |
| MOT17-14 | 0.71 | 51.5 | 76.1 | 4.3 | 10,016 | 3,255 | 3,112 | 76.3 | 75.5 | 75.9 |
Raw data:
