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SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking

CVPR 2019 · Detection and segmentation › Tracking · approach: Foundation-model and correlation-filter tracking · 267 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Fuse CM and FM matching scores and box refinements in the series-parallel design (ablation)SPM-Tracker · OTB-100AUC: 0.632 -> 0.670Helped
Fuse CM and FM matching scores and box refinements in the series-parallel design (ablation)SPM-Tracker · VOT-16EAO: 0.343 -> 0.391Helped
Add generalized training by treating same-category object pairs as positive (ablation)SPM-Tracker CM · OTB-100AUC: 0.670 -> 0.687Helped
Add generalized training by treating same-category object pairs as positive (ablation)SPM-Tracker CM · VOT-17EAO: 0.323 -> 0.338Helped
Fuse conv2 and conv4 features for FM instead of using one layer (ablation)SPM-Tracker FM · OTB-100AUC: 0.676 -> 0.687Helped
Use a relation network instead of cross-correlation for FM matching (ablation)SPM-Tracker FM without GT · OTB-100AUC: 0.647 -> 0.670Helped
Use a relation network instead of cross-correlation for FM matching (ablation)SPM-Tracker FM with GT · OTB-100AUC: 0.655 -> 0.687Helped
Remove Cityperson and WiderFace from training (ablation)SPM-Tracker · OTB-100AUC: 0.687 -> 0.671Hurt
Remove Cityperson and WiderFace from training (ablation)SPM-Tracker · VOT-17EAO: 0.338 -> 0.347Helped
Increase the number of FM candidate boxes beyond 7 (ablation)SPM-Tracker · OTB-100AUCNo clear effect

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