Table 7.
Precision results on various DTB70 dataset attributes listed in Table 1. Top performing tracker is shown in red and the second-best performing tracker is shown in blue. Best viewed in color.
| Tracker | SV(22) | ARV(25) | OCC(17) | DEF(18) | FCM(41) | IPR(47) | OPR(6) | OV(7) | BC(13) | SOA(27) | MB(27) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ACT | 0.4434 | 0.4658 | 0.6437 | 0.4245 | 0.5484 | 0.4707 | 0.2138 | 0.5688 | 0.4229 | 0.5321 | 0.4892 |
| DaSiamRPN | 0.7749 | 0.7363 | 0.6233 | 0.7774 | 0.7465 | 0.7086 | 0.5252 | 0.6950 | 0.6527 | 0.6638 | 0.6811 |
| DAT | 0.6783 | 0.6451 | 0.5823 | 0.6978 | 0.6586 | 0.6501 | 0.4935 | 0.7192 | 0.5316 | 0.6043 | 0.5694 |
| ECO | 0.5982 | 0.6007 | 0.7449 | 0.6052 | 0.7523 | 0.6376 | 0.3210 | 0.5851 | 0.7196 | 0.8023 | 0.7362 |
| meta-SDNet | 0.6224 | 0.5751 | 0.6272 | 0.6545 | 0.5963 | 0.5771 | 0.3883 | 0.5802 | 0.4336 | 0.6371 | 0.4851 |
| MFT | 0.7517 | 0.6463 | 0.7074 | 0.7155 | 0.7922 | 0.7551 | 0.5144 | 0.6315 | 0.8332 | 0.7807 | 0.8237 |
| py-MDNet | 0.6299 | 0.5577 | 0.6778 | 0.6628 | 0.6624 | 0.6284 | 0.4605 | 0.7110 | 0.5665 | 0.6093 | 0.5816 |
| RT-MDNet | 0.6017 | 0.5512 | 0.7539 | 0.4828 | 0.7558 | 0.5924 | 0.4378 | 0.6247 | 0.5065 | 0.7135 | 0.6315 |
| SiamFC | 0.6800 | 0.6407 | 0.6780 | 0.6392 | 0.7626 | 0.7004 | 0.5309 | 0.6713 | 0.7552 | 0.7184 | 0.7348 |
| STRCF | 0.7079 | 0.6371 | 0.7048 | 0.7440 | 0.7700 | 0.6904 | 0.4970 | 0.6572 | 0.6587 | 0.7318 | 0.7230 |