Web: http://arxiv.org/abs/2203.15835

Sept. 16, 2022, 1:15 a.m. | Ali Pourramezan Fard, Mohammad H. Mahoor

cs.CV updates on arXiv.org arxiv.org

Although deep neural networks have achieved reasonable accuracy in solving
face alignment, it is still a challenging task, specifically when we deal with
facial images, under occlusion, or extreme head poses. Heatmap-based Regression
(HBR) and Coordinate-based Regression (CBR) are among the two mainly used
methods for face alignment. CBR methods require less computer memory, though
their performance is less than HBR methods. In this paper, we propose an
Adaptive Coordinate-based Regression (ACR) loss to improve the accuracy of CBR
for …

alignment arxiv face loss regression

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