Ամփոփում:

The growing increase of demand in computer vision, arises the problem of handling specific algorithmic to this field. Image classification is one of these problems widely used in many applications. Starting from late 2000’s Neural Networks based algorithms perform best in this task. The most accurate results are obtained with help of Convolutional Neural Networks, which currently outperform all other algorithms, at least by accuracy. Nevertheless, they have problems connected with the memory use and training time, which in some cases are not acceptable. Thus there is a need for techniques for tackling with problem and fining tradeoff between complexity, time and accuracy.

Հրատարակիչ:

ITHEA

Հրատարակման ամսաթիվ:

2019

Նույնականացուցիչ:

oai:noad.sci.am:135926

ISSN:

1314-6416

Լեզու:

English

Ամսագրի կամ հրապարակման վերնագիր:

Information Models and Analyses

Հատոր:

8

Համար:

1

URL:

լրացուցիչ տեղեկատվություն:

mkrthcyan.karlen@icloud.com

Կազմակերպության անվանում:

Institute for Informatics and Automation Problems

Երկիր:

Armenia