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TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking

CVPR 2021 · 3D vision › Human pose estimation · approach: Multi-person pose estimation · 128 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use backbone features instead of 2D joint heatmaps (ablation)TesseTrack · PanopticMPJPE (mm): 16.3 -> 13.8Helped
add temporal tesseract prediction (ablation)TesseTrack · PanopticMPJPE (mm): 13.8 -> 8.0Helped
add learned descriptor merging instead of heatmap averaging (ablation)TesseTrack with heuristic matching · PanopticMPJPE (mm): 8.1 -> 7.5Helped
replace heuristic Hungarian matching with differentiable learned matching (ablation)TesseTrack with learned descriptor merging · PanopticMPJPE (mm): 7.5 -> 7.3Helped
add temporal tesseract prediction (ablation)TesseTrack · Human3.6M, multi-viewMPJPE (mm), Total: 20.4 -> 18.7Helped
use temporal person descriptors rather than instantaneous descriptors (ablation)TesseTrack · Panoptic3D MOTA, Avg: 87.6 -> 92.1Helped
replace Hungarian matching with a learned end-to-end matcher (ablation)TesseTrack with temporal descriptors · Panoptic3D MOTA, Avg: 92.1 -> 94.1Helped
use TesseTrack instead of Tu et al.multi-person 3D pose estimation · Panoptic, 5 viewsMPJPE (mm): 17.7 -> 7.3Helped
use TesseTrack instead of Tu et al.multi-person 3D pose estimation · Panoptic, monocularMPJPE (mm): 51.1 -> 18.9Helped
use TesseTrack instead of Tu et al.multi-person 3D pose estimation · TUM Campus3D-PCK, Total: 96.7 -> 97.4Helped
use TesseTrack instead of Tu et al.multi-person 3D pose estimation · TUM Shelf3D-PCK, Total: 97.0 -> 98.2Helped
use TesseTrack instead of Iskakov et al.single-person 3D pose estimation · Human3.6M, Protocol #1, multi-viewMPJPE (mm), Total: 20.8 -> 18.7Helped

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