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Research map / Detection and segmentation / Tracking

PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking

CVPR 2022 · Detection and segmentation › Tracking · approach: Memory and correlation-based MOT · 53 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add ReID track-history matching (ablation)CorrTrack pose tracking · PoseTrack21 pose trackingMOTA: 63.0 -> 63.8Helped
Add ReID track-history matching (ablation)CorrTrack pose tracking · PoseTrack21 pose trackingHOTA: 51.13 -> 52.71Helped
Use offline track merging (ablation)CorrTrack pose tracking · PoseTrack21 pose trackingMOTA: 63.0 -> 63.9Helped
Use offline track merging (ablation)CorrTrack pose tracking · PoseTrack21 pose trackingHOTA: 51.13 -> 52.42Helped
Replace the motion model with keypoint correspondences (ablation)Tracktor++ pose tracking · PoseTrack21 pose trackingHOTA: 52.21 -> 48.90Hurt
Add pose estimation to Tracktor++ (ablation)Tracktor++ · PoseTrack21 pose trackingMOTA: Tracktor++ w. poses: 63.3Helped
Use CorrTrack with ReID outputs as bounding-box tracks (ablation)Multi-object tracking on PoseTrack21MOT · PoseTrack21MOTHOTA: 56.95; 58.29Mixed
Use SeqNet rather than the other evaluated person-search baselinesPerson search · PoseTrack21 person searchmAP: 57.58 -> 65.12Helped
Use the NAE+ pixel-wise extension (ablation)NAE person search · PoseTrack21 person searchmAP: 55.83 -> 54.48Hurt

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