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2003-2022 全部
为您找到包含“Depth wise Separable Convolution”的内容共1

LI Runze,LI Wei,XU Tong,QI Qi

Face verification is applied to our life, which benefits from the high-accuracy of the algorithm based on CNN. However,the performance of face verification is still poor on mobile device since limited computation resources. In this paper, we present a class of extremely efficient algorithm with attention mechanism embedded, the algorithm of 20MB size achieves 96.37% face verification TAR(FAR1e-6) on MegaFace Challenge, which is even comparable to hundrads MB size. We compare our algorithm with similar small size models like MobiFace, MobileFaceNet, Goole-FaceNet, the experimental results show the efficent of our algorithm.

2019-03-15

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications

#Computer Science and Technology#

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