Multi-Object Tracking on ImageNet VID (val)
74.5Mean APMCMOT
Evaluation results
| Method | Links | |||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MCMOT2016.08 | 74.5 | 86.3 | 83.4 | 88.2 | 78.9 | 65.9 | 90.6 | 66.3 | 81.5 | 72.1 | 76.8 | 82.4 | 88.9 | 91.3 | 89.3 | 66.5 | 38 | 77.1 | 57.3 | 88.8 | 78.2 | 77.7 | 40.6 | 50.3 | 44.3 | 91.8 | 78.2 | 75.1 | 81.7 | 63.1 | 85.2 | |
| T-CNN2016.08 | 73.8 | 83.7 | 85.7 | 84.4 | 74.5 | 73.8 | 75.7 | 57.1 | 58.7 | 72.3 | 69.2 | 80.2 | 83.4 | 80.5 | 93.1 | 84.2 | 67.8 | 80.3 | 54.8 | 80.6 | 63.7 | 85.7 | 60.5 | 72.9 | 52.7 | 89.7 | 81.3 | 73.7 | 69.5 | 33.5 | 90.2 | |
| Integrated detection and trackinginference=on-line, backbone=ResNet-1012018.11 | 72.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NUS-Qihoo-UIUCinference=off-line, backbone=DPN-1312018.11 | 70.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| D&T (reproduced)inference=off-line, backbone=ResNet-1012018.11 | 60.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ITLab VID-Inha2016.08 | 57.1 | 78.5 | 68.5 | 76.5 | 61.4 | 43.1 | 72.9 | 61.6 | 61.1 | 52.2 | 56.6 | 74 | 72.5 | 85.5 | 67.5 | 64.7 | 5.7 | 54.3 | 34.7 | 77.6 | 53.5 | 40.8 | 34.3 | 18.1 | 23.4 | 69.6 | 53.4 | 61.6 | 78 | 33.2 | 77.7 | |
| TCN2016.08 | 47.5 | 72.7 | 75.5 | 42.2 | 39.5 | 25 | 64.1 | 36.3 | 51.1 | 24.4 | 48.6 | 65.6 | 73.9 | 61.7 | 82.4 | 30.8 | 34.4 | 54.2 | 1.6 | 61 | 36.6 | 19.7 | 55 | 38.9 | 2.6 | 42.8 | 54.6 | 66.1 | 69.2 | 26.5 | 68.6 |