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Multi-Person Articulated Tracking With Spatial and Temporal Embeddings

CVPR 2019 · Detection and segmentation › Tracking · approach: Memory and correlation-based MOT · 96 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Combine KE and SIE rather than use either embedding alone (ablation)SpatialNet · ICCV'17 PoseTrack validationAP (Total): 70.9%/71.3% -> 74.0%Helped
Add geometric ordinal auxiliary training to KE+SIE (ablation)SpatialNet · ICCV'17 PoseTrack validationAP (Total): 74.0 -> 74.3Helped
Add PGG to KE (ablation)SpatialNet · ICCV'17 PoseTrack validationAP (Total): 70.9 -> 73.2Helped
Add PGG to SIE (ablation)SpatialNet · ICCV'17 PoseTrack validationAP (Total): 71.3 -> 75.1Helped
Add PGG to combined KE+SIE+aux (ablation)SpatialNet · ICCV'17 PoseTrack validationAP (Total): 74.3 -> 77.0Helped
Add HE and TIE together instead of using KE+SIE baseline tracking (ablation)Pose tracker · ICCV'17 PoseTrack validationMOTA (Total): 67.7 -> 69.2Helped
Add spatial-temporal PGG to HE+TIE (ablation)TemporalNet · ICCV'17 PoseTrack validationMOTA (Total): 69.2% vs. 71.8%Helped
Use multi-scale rather than single-scale inference (ablation)SpatialNet · MS-COCO subsetAP: 0.650 -> 0.680Helped
Use the proposed HE+TIE+PGG tracker rather than FlowTrackPose tracking · ICCV'17 PoseTrack validationMOTA (Total): 65.4% to 71.8%Helped

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