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We address a problem of estimating pose of a person's head from its RGBimage. The employment of CNNs for the problem has contributed to significantimprovement in accuracy in recent works. However, we show that the followingtwo methods, despite their simplicity, can attain further improvement: (i)proper adjustment of the margin of bounding box of a detected face, and (ii)choice of loss functions. We show that the integration of these two methodsachieve the new state-of-the-art on standard benchmark datasets for in-the-wildhead pose estimation.

Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment