基于时空特征增强的单目标跟踪算法
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顾磊,夏楠,江佳鸿,廉筱峪
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Single object tracking algorithm based on spatio-temporal feature enhancement
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Lei GU,Nan XIA,Jiahong JIANG,Xiaoyu LIAN
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| 表 1 不同算法在LaSOT和GOT-10k测试集上的跟踪结果对比 |
| Tab.1 Comparison of tracking results of different algorithms on LaSOT and GOT-10k test sets |
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| 算法 | LaSOT | | GOT-10k | | AUC/% | Pnorm/% | P/% | | AO/% | SR50/% | SR75/% | | SiamRPN[8] | 43.7 | 47.8 | 41.5 | | 40.8 | 46.4 | 19.8 | | TAN[14] | 47.4 | 53.5 | 45.3 | | — | — | — | | SiamFC++[9] | 54.1 | 62.2 | 54.6 | | 59.4 | 69.3 | 47.1 | | TransT[16] | 64.8 | 73.7 | 69.0 | | 66.9 | 76.7 | 60.8 | | STARK[17] | 67.2 | 76.9 | — | | 68.9 | 78.0 | 64.2 | | KeepTrack[13] | 67.3 | 77.4 | 70.4 | | 68.3 | 79.3 | 61.0 | | MixViT[23] | 68.7 | 78.4 | 74.3 | | 70.4 | 79.8 | 67.9 | | OSTrack[26] | 69.0 | 78.6 | 75.1 | | 70.9 | 80.2 | 68.2 | | SwinTrack[21] | 69.2 | 78.3 | 74.0 | | 69.4 | 78.0 | 64.3 | | AiATrack[18] | 69.3 | 79.2 | 73.5 | | 69.9 | 80.1 | 63.5 | | FEHST[22] | 70.1 | 78.8 | 75.1 | | 71.4 | 81.7 | 68.3 | | LGTrack[24] | 70.2 | 80.4 | 76.4 | | 72.4 | 82.3 | 69.6 | | EVPTrack[25] | 70.4 | 80.6 | 77.4 | | 73.3 | 83.6 | 70.7 | | OSTrack-ST | 70.5 | 80.8 | 77.1 | | 73.7 | 84.1 | 71.4 |
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