# 3D Human Keypoint Estimation on Waymo 1.4.2

Source: [3D Human Keypoint Estimation on Waymo 1.4.2](<https://www.sota2.com/research/sota/3d-human-keypoint-estimation-on-waymo-1-4-2>)

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

Data updated: 2026-02-26T05:50:09.293Z

Evaluation of 3D Human Keypoint Estimation performance on the Waymo 1.4.2 dataset, reporting MPJPE.

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 | 3D Human Keypoint Estimation |
| Dataset (including any stated split) | Waymo 1.4.2 |
| Metric | MPJPE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 1 of 1 |
| 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

- [MPJPE](<https://www.sota2.com/research/sota/3d-human-keypoint-estimation-on-waymo-1-4-2.md?metric=MPJPE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | MPJPE | Result date | Report paper |
| --- | --- | --- | --- |
| VoxelKP | 8.87 | Not recorded | 68fa71721e209131cea514c0 |

### VoxelKP

MPJPE: 8.87. Result ID: 6991cf143a6c3148490ab9bd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71721e209131cea514c0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71721e209131cea514c0.md>)

[Implementation](<https://github.com/shijianjian/VoxelKP>)

Recorded evaluation configuration: {"Extra Training Data":false,"Description":"Randomly initialized"}. This record does not assert independent reproduction.

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