On the representation and methodology for wide and short range head pose estimation

Benchmark Model Rank Results
head-pose-estimation-on-panopticWRHP-6D-Opal#1Geodesic Error (GE): 7.45
head-pose-estimation-on-panopticWRHP-6D#2Geodesic Error (GE): 7.70
head-pose-estimation-on-panopticWRHP-Quaternion#4Geodesic Error (GE): 9.32
head-pose-estimation-on-panopticWRHP-Euler#5Geodesic Error (GE): 10.47
head-pose-estimation-on-aflw2000SRHP-Euler#3MAE: 3.25Geodesic Error (GE): 5.29
head-pose-estimation-on-aflw2000SRHP-6D#5MAE: 3.49Geodesic Error (GE): 5.37
head-pose-estimation-on-biwiSRHP-6D#12MAE (trained with other data): 3.98Geodesic Error (GE): 7.30…
head-pose-estimation-on-biwiSRHP-Euler#14MAE (trained with other data): 4.13Geodesic Error (GE): 7.49…