Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/UNIMASK-M

UNIMASK-M

Reported on 6 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Pose EstimationonHuman3.6M
Average MPJPE (mm) @ 1000 ms· 2023-08-14
112.1
best: 149.2 (Forecast LSTM)
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis arXiv:2308.07301
Pose EstimationonHuman3.6M
Average MPJPE (mm) @ 400ms· 2023-08-14
61.6
best: 80.8 (Forecast LSTM)
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis arXiv:2308.07301

Methodology2 results

3DonHuman3.6M
Average MPJPE (mm) @ 1000 ms· 2023-08-14
112.1
best: 149.2 (Forecast LSTM)
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis arXiv:2308.07301
3DonHuman3.6M
Average MPJPE (mm) @ 400ms· 2023-08-14
61.6
best: 80.8 (Forecast LSTM)
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis arXiv:2308.07301

Audio2 results

1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm) @ 1000 ms· 2023-08-14
112.1
best: 149.2 (Forecast LSTM)
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis arXiv:2308.07301
1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm) @ 400ms· 2023-08-14
61.6
best: 80.8 (Forecast LSTM)
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis arXiv:2308.07301