Comparative Analysis of Deep Neural Networks Architectures for Visual Recognition in the Autonomous Transport Systems

Autor:	N N Liubushkina, Y S Ivanov, S V Zhiganov
Rok vydání:	2021
Předmět:	Visual recognition History Computer science business.industry Deep neural networks Artificial intelligence business Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 2096:012101
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/2096/1/012101
Popis:	This paper analyses and presents an experimental investigation of the efficiency of modern models for object recognition in computer vision systems of robotic complexes. In this article, the applicability of transformers for experimental classification problems has been investigated. The comparison results are presented taking into account various limitations specific to robotics. Based on the results of the undertaken studies, recommendations on the use of models in the marine vessels classification problem are proposed
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2d814ec1560993b4cec1368094acfd14 https://doi.org/10.1088/1742-6596/2096/1/012101 Zobrazit plný text záznamu