April 27, 2022, 1:10 a.m. | Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu

cs.CV updates on arXiv.org arxiv.org

While Convolutional Neural Networks (CNNs) have significantly boosted the
performance of face related algorithms, maintaining accuracy and efficiency
simultaneously in practical use remains challenging. The state-of-the-art
methods employ deeper networks for better performance, which makes it less
practical for mobile applications because of more parameters and higher
computational complexity. Therefore, we propose an efficient multitask neural
network, Alignment & Tracking & Pose Network (ATPN) for face alignment, face
tracking and head pose estimation. Specifically, to achieve better performance
with fewer …

alignment arxiv cv face head network neural network tracking

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