Efficient Unsupervised Latent Embedding Clustering for Robust Head Pose Estimation in Occluded Scenarios

A novel methodology combining unsupervised latent embedding clustering with fine-grained Euler angle regression to improve feature representation and estimation robustness against occlusions in head pose estimation.