# Multi-person Pose Estimation on PoseTrack Challenge dataset (test)

Source: [Multi-person Pose Estimation on PoseTrack Challenge dataset (test)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:09:53.016Z

Evaluation of Multi-person Pose Estimation performance on the test split of the PoseTrack Challenge dataset, reporting mean Average Precision (mAP) for individual body joints (Head, Shoulder, Elbow, Wrist, Hip, Knee, Ankle) and overall total mAP.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Multi-person Pose Estimation |
| Dataset (including any stated split) | PoseTrack Challenge dataset (test) |
| Metric | mAP (Total) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [mAP (Total)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test.md?metric=mAP%20(Total)>): Higher is better; unit: PERCENT.

- [mAP (Head)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test.md?metric=mAP%20(Head)>): Higher is better; unit: PERCENT.

- [mAP (Shoulder)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test.md?metric=mAP%20(Shoulder)>): Higher is better; unit: PERCENT.

- [mAP (Elbow)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test.md?metric=mAP%20(Elbow)>): Higher is better; unit: PERCENT.

- [mAP (Wrist)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test.md?metric=mAP%20(Wrist)>): Higher is better; unit: PERCENT.

- [mAP (Hip)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test.md?metric=mAP%20(Hip)>): Higher is better; unit: PERCENT.

- [mAP (Knee)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test.md?metric=mAP%20(Knee)>): Higher is better; unit: PERCENT.

- [mAP (Ankle)](<https://www.sota2.com/research/sota/multi-person-pose-estimation-on-posetrack-challenge-dataset-test.md?metric=mAP%20(Ankle)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mAP (Total) | Result date | Report paper |
| --- | --- | --- | --- |
| Simple Baseline (Ours) | 73.9 | Not recorded | 68fa64b81e209131cea06074 |
| Simple Baseline (Ours) | 70 | Not recorded | 68fa64b81e209131cea06074 |
| Xiu et al. | 63 | Not recorded | 68fa64b81e209131cea06074 |
| Girdhar et al. | 59.6 | Not recorded | 68fa64b81e209131cea06074 |

### Simple Baseline (Ours)

mAP (Total): 73.9. Result ID: 698c87690b614d12cff11997.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64b81e209131cea06074.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64b81e209131cea06074.md>)

[Implementation](<https://github.com/leoxiaobin/pose.pytorch>)

Recorded evaluation configuration: {"Backbone":"ResNet-152","Detector":"FPN-DCN \[10\]"}. This record does not assert independent reproduction.

### Simple Baseline (Ours)

mAP (Total): 70. Result ID: 698c87690b614d12cff11996.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64b81e209131cea06074.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64b81e209131cea06074.md>)

[Implementation](<https://github.com/leoxiaobin/pose.pytorch>)

Recorded evaluation configuration: {"Backbone":"ResNet-50","Detector":"FPN-DCN \[10\]"}. This record does not assert independent reproduction.

### Xiu et al.

mAP (Total): 63. Result ID: 698c87690b614d12cff11995.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64b81e209131cea06074.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64891e209131cea054ab.md>)

[Implementation](<https://github.com/YuliangXiu/PoseFlow>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Girdhar et al.

mAP (Total): 59.6. Result ID: 698c87690b614d12cff11994.

[Reporting paper](<https://www.sota2.com/research/paper/68fa64b81e209131cea06074.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64501e209131cea03fc2.md>)

[Implementation](<https://rohitgirdhar.github.io/DetectAndTrack>)

Recorded evaluation configuration: {"Training Data":"train+validation"}. This record does not assert independent reproduction.

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