M.I. Sivenkov, Y.V. Ivanov, A.G. Semenyaka, Y.V. Poduraev
Artificial neural networks are one of the key technologies that make it possible to successfully apply machine learning methods. This article discusses the problem of human recognition using various ANN architectures. An overview and analysis of the effectiveness of using various ANN architectures for semantic segmentation of an object is presented, an experimental comparison of ANN architectures is carried out.
Keywords: artificial neural networks, semantic segmentation, human recognition.