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.
Click here for original story, Neural networks taught to recognize similar objects on videos without accuracy degradation
Source: Phys.org