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Models/REN

REN

Reported on 21 benchmarks across 5 tasks · 2 papers · 18 SOTA

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

Computer Vision10 results

Pose Estimationon ITOP front-view
Mean mAP· 2017-07-23
84.9
best: 93.38 (AdaPose)
SOTA
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248
HandonMSRA Hands
Average 3D Error· 2017-02-08
9.8
best: 7.13 (TriHorn-Net)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
HandonICVL Hands
Average 3D Error· 2017-02-08
7.5
best: 4.79 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
HandonNYU Hands
Average 3D Error· 2017-02-08
12.7
best: 6.4 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
Pose EstimationonMSRA Hands
Average 3D Error· 2017-02-08
9.8
best: 7.13 (TriHorn-Net)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
Pose EstimationonICVL Hands
Average 3D Error· 2017-02-08
7.5
best: 4.79 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
Pose EstimationonNYU Hands
Average 3D Error· 2017-02-08
12.7
best: 6.4 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
HandonNYU Hands
Average 3D Error· 2017-07-23
15.6
best: 6.4 (Virtual View Selection)
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248
Pose EstimationonITOP top-view
Mean mAP· 2017-07-23
75.5
best: 86.92 (DECA-D3)
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248
Pose EstimationonNYU Hands
Average 3D Error· 2017-07-23
15.6
best: 6.4 (Virtual View Selection)
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248

Methodology6 results

3Don ITOP front-view
Mean mAP· 2017-07-23
84.9
best: 93.38 (AdaPose)
SOTA
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248
3DonMSRA Hands
Average 3D Error· 2017-02-08
9.8
best: 7.13 (TriHorn-Net)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
3DonICVL Hands
Average 3D Error· 2017-02-08
7.5
best: 4.79 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
3DonNYU Hands
Average 3D Error· 2017-02-08
12.7
best: 6.4 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
3DonITOP top-view
Mean mAP· 2017-07-23
75.5
best: 86.92 (DECA-D3)
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248
3DonNYU Hands
Average 3D Error· 2017-07-23
15.6
best: 6.4 (Virtual View Selection)
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248

Audio6 results

1 Image, 2*2 Stitchion ITOP front-view
Mean mAP· 2017-07-23
84.9
best: 93.38 (AdaPose)
SOTA
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248
1 Image, 2*2 StitchionMSRA Hands
Average 3D Error· 2017-02-08
9.8
best: 7.13 (TriHorn-Net)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
1 Image, 2*2 StitchionICVL Hands
Average 3D Error· 2017-02-08
7.5
best: 4.79 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
1 Image, 2*2 StitchionNYU Hands
Average 3D Error· 2017-02-08
12.7
best: 6.4 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
1 Image, 2*2 StitchionITOP top-view
Mean mAP· 2017-07-23
75.5
best: 86.92 (DECA-D3)
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248
1 Image, 2*2 StitchionNYU Hands
Average 3D Error· 2017-07-23
15.6
best: 6.4 (Virtual View Selection)
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248

Graphs4 results

Hand Pose EstimationonMSRA Hands
Average 3D Error· 2017-02-08
9.8
best: 7.13 (TriHorn-Net)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
Hand Pose EstimationonICVL Hands
Average 3D Error· 2017-02-08
7.5
best: 4.79 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
Hand Pose EstimationonNYU Hands
Average 3D Error· 2017-02-08
12.7
best: 6.4 (Virtual View Selection)
SOTA
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation arXiv:1702.02447
Hand Pose EstimationonNYU Hands
Average 3D Error· 2017-07-23
15.6
best: 6.4 (Virtual View Selection)
Towards Good Practices for Deep 3D Hand Pose Estimation arXiv:1707.07248