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D3S - A Discriminative Single Shot Segmentation Tracker

CVPR 2020 · Detection and segmentation › Tracking · approach: Foundation-model and correlation-filter tracking · 312 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
combine geometrically invariant segmentation cues with a geometrically constrained Euclidean target modelD3S · VOT2018EAOHelped
remove the GIM foreground similarity channel (ablation)D3S · VOT2018EAO: 0.489 -> 0.467Hurt
add the GIM target posterior channel (ablation)D3S · VOT2018EAO: 0.423 -> 0.489Helped
add GIM foreground similarity and target posterior channels (ablation)D3S · VOT2018EAO: 0.357 -> 0.489Helped
add the GEM target location channel (ablation)D3S · VOT2018EAO: 0.251 -> 0.489Helped
update the DCF using D3S's final position estimate rather than the DCF's own estimate (ablation)D3S · VOT2018EAO: 0.452 -> 0.489Helped
use the proposed rotated bounding-box fitting instead of a minimal-area rotated box (ablation)D3S · VOT2018EAO: 0.444 -> 0.489Helped
use the proposed rotated bounding-box fitting instead of a min-max axis-aligned box (ablation)D3S · VOT2018EAO: 0.398 -> 0.489Helped
use single-shot segmentation tracking rather than SiamMaskD3S · VOT2016robustness: 0.214 -> 0.131Helped
use D3S rather than SiamMaskD3S · DAVIS16mean Jaccard index: 71.7 -> 75.4Helped
use D3S rather than SiamRPN++D3S · TrackingNet test setAUC: 73.3 -> 72.8Hurt

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