注意力聚集无锚框的孪生网络无人机跟踪算法
|
王海军,马文来,张圣燕
|
Attention aggregation siamese network with anchor free scheme for UAV object tracking
|
Hai-jun WANG,Wen-lai MA,Sheng-yan ZHANG
|
|
表 1 11种跟踪算法在3个无人机数据库上的跟踪准确度和成功率对比 |
Tab.1 Comparison in terms of precision and success rate for eleven tracking algorithms on three UAV datasets |
|
算法 | P | | S | UAV123@10fps | UAV20L | DTB70 | UAV123@10fps | UAV20L | DTB70 | AASAF | 0.755 | 0.744 | 0.809 | | 0.570 | 0.571 | 0.608 | SiamAPN | 0.752 | 0.721 | 0.784 | 0.566 | 0.539 | 0.586 | SESiam_FC | 0.717 | 0.648 | 0.730 | 0.512 | 0.453 | 0.490 | ECO | 0.711 | 0.589 | 0.722 | 0.520 | 0.427 | 0.502 | MCCT | 0.684 | 0.605 | 0.725 | 0.492 | 0.407 | 0.484 | DeepSTRCF | 0.682 | 0.588 | 0.734 | 0.499 | 0.443 | 0.506 | AutoTrack | 0.671 | 0.512 | 0.716 | 0.477 | 0.349 | 0.478 | ARCF | 0.666 | 0.544 | 0.694 | 0.473 | 0.381 | 0.472 | BiCF | 0.662 | 0.486 | 0.657 | 0.475 | 0.356 | 0.462 | Ocean | 0.657 | 0.630 | 0.634 | 0.462 | 0.444 | 0.455 | STRCF | 0.627 | 0.575 | 0.649 | 0.457 | 0.411 | 0.437 |
|
|
|