Neural networks taught to recognize similar objects on videos without accuracy degradation
Published Date: 6/21/2019
Source: phys.org
Andrey Savchenko, Professor at the Higher School of Economics (HSE University), has developed a method that can help to enhance image identification on videos. In his project, a network was taught by a new algorithm and can now make decisions on image recognition and classification at a rate 10 times faster than before. This research was presented in the paper "Sequential three-way decisions in multi-category image recognition with deep features based on distance factor" published in Information Sciences.