Abstract:The absence of local features and global shape constraints severely limits the performance of the hourglass network for facial landmark detection in unconstrained environments. Moreover, diverse feature types and scales may result in low accuracy. This paper proposes a probability-guided hourglass network to enhance the shape constraints for robust facial landmark detection. Firstly, a multi-scale pre-processing module is designed to extract features at different scales. Secondly, based on the heatmaps generat… Show more
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