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Models/ResChunk

ResChunk

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· 2023-08-31
81.95
best: 149.2 (Forecast LSTM)
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction arXiv:2308.16801
Pose EstimationonHuman3.6M
Average MPJPE (mm) @ 400ms· 2023-08-31
56.41
best: 80.8 (Forecast LSTM)
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction arXiv:2308.16801

Methodology2 results

3DonHuman3.6M
Average MPJPE (mm) @ 1000 ms· 2023-08-31
81.95
best: 149.2 (Forecast LSTM)
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction arXiv:2308.16801
3DonHuman3.6M
Average MPJPE (mm) @ 400ms· 2023-08-31
56.41
best: 80.8 (Forecast LSTM)
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction arXiv:2308.16801

Audio2 results

1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm) @ 1000 ms· 2023-08-31
81.95
best: 149.2 (Forecast LSTM)
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction arXiv:2308.16801
1 Image, 2*2 StitchionHuman3.6M
Average MPJPE (mm) @ 400ms· 2023-08-31
56.41
best: 80.8 (Forecast LSTM)
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction arXiv:2308.16801