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Global Tracking via Ensemble of Local Trackers

CVPR 2022 · Detection and segmentation › Tracking · approach: Transformer-based video object tracking · 41 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use ensemble local tracking with temporal contextlong-term tracking · TLPAUC: 0.558 -> 0.570Helped
use ensemble local tracking with temporal contextlong-term tracking · OxUvA testing setMaxGM: 0.723 -> 0.768Helped
use ensemble local tracking with temporal contextlong-term tracking · VOT2020-LTF-score: 0.709 -> 0.693Hurt
use ensemble local tracking with temporal contextlong-term tracking · LaSOTExtSubAUC: 0.482 -> 0.450Hurt
use ensemble local tracking with temporal contexttracking · TrackingNetAUC: 0.814 -> 0.825Helped
add temporal context transferring (ablation)global tracking model · LaSOTAUC: 0.653 -> 0.677Helped
use deformable local attention instead of global dense attention (ablation)global tracking model · LaSOTAUC: 0.623 -> 0.677Helped
use multiple deformable local trackers instead of one global tracker (ablation)global tracking model · LaSOTAUC: 0.619 -> 0.677Helped
reduce the ensemble to 5 local trackers (ablation)Our model · LaSOTAUC: 0.677 -> 0.670Hurt
increase the ensemble to 20 local trackers (ablation)Our model · LaSOTAUC: 0.677 -> 0.660Hurt
shorten memory to 1 (ablation)Our model · LaSOTAUC: 0.677 -> 0.672Hurt
shorten memory to 3 (ablation)Our model · LaSOTAUC: 0.677 -> 0.675Hurt

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