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Human Pose As Compositional Tokens

CVPR 2023 · 3D vision › Human pose estimation · approach: Heatmap and coordinate pose encoding · 91 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use compositional pose tokens instead of independent joint codebooks (ablation)PCT pose estimation · COCO val2017AP^P: 16.2 -> 65.5Helped
Add masked joint modeling (ablation)PCT · COCO val2017AP^P: 65.5 -> 72.7Helped
Add masked joint modeling (ablation)PCT · SyncOCC testAP^OC: 88.3 -> 91.2Helped
Add image guidance (ablation)PCT · COCO val2017AP^P: 72.7 -> 75.1Helped
Add image guidance (ablation)PCT · SyncOCC testAP^OC: 91.2 -> 92.8Helped
Add auxiliary pose reconstruction loss (ablation)PCT · COCO val2017AP^P: 75.1 -> 77.4Helped
Add auxiliary pose reconstruction loss (ablation)PCT · SyncOCC testAP^OC: 92.8 -> 93.1Helped
Use PCT rather than coordinate representationSwin-Base pose estimation · OCHuman val occluded jointsAP^OC: 41.5 -> 45.6Helped
Use PCT rather than heatmapsSwin-Base pose estimation · OCHuman val occluded jointsAP^OC: 40.1 -> 45.6Helped
Use PCT rather than discrete binsSwin-Base pose estimation · OCHuman val occluded jointsAP^OC: 40.5 -> 45.6Helped
Increase the number of tokens from 4 to 16 (ablation)PCT · COCO val2017APHelped
Increase token count beyond 16 (ablation)PCT · COCO val2017APNo clear effect

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