paper-with-me

Visual Object Tracking 벤치마크

Visual Object Tracking on OTB-2015

36개 결과 · ⬇ CSV · JSON

AUC

0.568 0.6078 0.6475 0.6872 0.727 2017-04 2026-11 CFNet — 0.568 (2017-04-20) CFNet — 0.568 (2017-04-20) SA-Siam — 0.657 (2018-02-24) SA-Siam — 0.657 (2018-02-24) SiamVGG — 0.654 (2019-02-07) SiamVGG — 0.654 (2019-02-07) ASRCF — 0.692 (2019-06-01) ASRCF — 0.692 (2019-06-01) TRASFUST — 0.701 (2020-07-08) TRASFUST — 0.701 (2020-07-08) SE-SiamFC — 0.66 (2020-07-17) SE-SiamFC — 0.66 (2020-07-17) AAA — 0.7 (2020-09-19) AAA — 0.7 (2020-09-19) KeepTrack — 0.709 (2021-03-30) KeepTrack — 0.709 (2021-03-30) STMTrack — 0.719 (2021-04-01) STMTrack — 0.719 (2021-04-01) UniTrack_DCF — 0.618 (2021-07-05) UniTrack_DCF — 0.618 (2021-07-05) SeqTrack-L384 — 0.683 (2023-04-27) SeqTrack-L384 — 0.683 (2023-04-27) HIPTrack — 0.71 (2023-11-03) HIPTrack — 0.71 (2023-11-03) ODTrack-L — 0.724 (2024-01-03) ODTrack-B — 0.723 (2024-01-03) ODTrack-L — 0.724 (2024-01-03) ODTrack-B — 0.723 (2024-01-03) PiVOT-L — 0.712 (2024-09-27) PiVOT-L — 0.712 (2024-09-27) SAMURAI-L — 0.715 (2024-11-18) SAMURAI-L — 0.715 (2024-11-18) SPMTrack-B — 0.727 (2025-03-24) SPMTrack-B — 0.727 (2025-03-24) CFNet — 0.568 (2017-04-20) SA-Siam — 0.657 (2018-02-24) ASRCF — 0.692 (2019-06-01) TRASFUST — 0.701 (2020-07-08) KeepTrack — 0.709 (2021-03-30) STMTrack — 0.719 (2021-04-01) ODTrack-L — 0.724 (2024-01-03) SPMTrack-B — 0.727 (2025-03-24)
RankModel AUCPrecision PaperCodeYear
1 SPMTrack-B 0.727– SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking wenruicai/spmtrack 2025
2 ODTrack-L 0.724– ODTrack: Online Dense Temporal Token Learning for Visual Tracking gxnu-zhonglab/odtrack 2024
3 ODTrack-B 0.723– ODTrack: Online Dense Temporal Token Learning for Visual Tracking gxnu-zhonglab/odtrack 2024
4 STMTrack 0.719– STMTrack: Template-free Visual Tracking with Space-time Memory Networks fzh0917/STMTrack 2021
5 SAMURAI-L 0.715– SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory yangchris11/samurai 2024
6 PiVOT-L 0.7120.946 Improving Visual Object Tracking through Visual Prompting chenshihfang/GOT 2024
7 HIPTrack 0.71– HIPTrack: Visual Tracking with Historical Prompts wenruicai/hiptrack 2023
8 KeepTrack 0.709– Learning Target Candidate Association to Keep Track of What Not to Track visionml/pytracking 2021
9 TRASFUST 0.7010.931 Tracking-by-Trackers with a Distilled and Reinforced Model dontfollowmeimcrazy/vot-kd-rl 2020
10 AAA 0.700.91 AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee songheony/A3T · songheony/AAA-journal 2020
11 ASRCF 0.692– Visual Tracking via Adaptive Spatially-Regularized Correlation Filters Daikenan/ASRCF 2019
12 SeqTrack-L384 0.683– Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking chenxin-dlut/seqtrackv2 2023
13 SE-SiamFC 0.66– Scale Equivariance Improves Siamese Tracking isosnovik/SiamSE 2020
14 SA-Siam 0.657– A Twofold Siamese Network for Real-Time Object Tracking Microsoft/SA-Siam 2018
15 SiamVGG 0.654– SiamVGG: Visual Tracking using Deeper Siamese Networks zllrunning/SiameseX.PyTorch · leeyeehoo/SiamVGG · logiklesuraj/siamfcex · +1 2019
16 UniTrack_DCF 0.618– Do Different Tracking Tasks Require Different Appearance Models? Zhongdao/UniTrack 2021
17 CFNet 0.568– End-to-end representation learning for Correlation Filter based tracking 2017
18 GradNet –0.861 GradNet: Gradient-Guided Network for Visual Object Tracking LPXTT/GradNet-Pytorch · LPXTT/GradNet-Tensorflow 2019
19 SPMTrack-B 0.727– SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking wenruicai/spmtrack 2025
20 ODTrack-L 0.724– ODTrack: Online Dense Temporal Token Learning for Visual Tracking gxnu-zhonglab/odtrack 2024
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