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Models/WHENet

WHENet

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Computer Vision2 results

Pose EstimationonBIWI
MAE (trained with other data)· 2020-05-20
3.81
best: 2.75 (TRG (w/ 300WLP))
SOTA
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose arXiv:2005.10353
Pose EstimationonAFLW2000
MAE· 2020-05-20
5.42
best: 3.15 (OpNet)
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose arXiv:2005.10353

Methodology2 results

3DonBIWI
MAE (trained with other data)· 2020-05-20
3.81
best: 2.75 (TRG (w/ 300WLP))
SOTA
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose arXiv:2005.10353
3DonAFLW2000
MAE· 2020-05-20
5.42
best: 3.15 (OpNet)
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose arXiv:2005.10353

Audio2 results

1 Image, 2*2 StitchionBIWI
MAE (trained with other data)· 2020-05-20
3.81
best: 2.75 (TRG (w/ 300WLP))
SOTA
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose arXiv:2005.10353
1 Image, 2*2 StitchionAFLW2000
MAE· 2020-05-20
5.42
best: 3.15 (OpNet)
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose arXiv:2005.10353