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Faster and More Precise: Researcher Improves Performance of Image Recognition Neural Network
A scientist from HSE University has developed an image recognition algorithm that works 40% faster than analogues. It can speed up real-time processing of video-based image recognition systems. The results of the study have been published in the journal Information Sciences.
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Researchers Teach Neural Networks to Recognize Similar Objects on Videos without Accuracy Degradation
Andrey Savchenko, Professor at 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 10 times faster than before.