An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge
2018-09-17Code Available0· sign in to hype
Xiao Sun, Chuankang Li, Stephen Lin
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ReproduceCode
- github.com/JimmySuen/integral-human-poseOfficialIn paperpytorch★ 0
Abstract
For the ECCV 2018 PoseTrack Challenge, we present a 3D human pose estimation system based mainly on the integral human pose regression method. We show a comprehensive ablation study to examine the key performance factors of the proposed system. Our system obtains 47mm MPJPE on the CHALL_H80K test dataset, placing second in the ECCV2018 3D human pose estimation challenge. Code will be released to facilitate future work.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| CHALL H80K | ResNet | MPJPE | 55.3 | — | Unverified |