MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

Understand

We present a class of extremely efficient CNN models, MobileFaceNets, which use less than 1 million parameters and are specifically tailored for high-accuracy real-time face verification on mobile and embedded devices.

• We first make a simple analysis on the weakness of common mobile networks for face verification.
• The weakness has been well overcome by our specifically designed MobileFaceNets.
• Under the same experimental conditions, our MobileFaceNets achieve significantly superior accuracy as well as more than 2 times actual speedup over MobileNetV2.