Family Coat of Arms and Armorial Achievement Classification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU132055" target="_blank" >RIV/00216305:26230/19:PU132055 - isvavai.cz</a>

Result on the web

<a href="https://www.fit.vut.cz/research/publication/11848/" target="_blank" >https://www.fit.vut.cz/research/publication/11848/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-16660-1_56" target="_blank" >10.1007/978-3-030-16660-1_56</a>

Result language

angličtina

Original language name

Family Coat of Arms and Armorial Achievement Classification

Original language description

This paper presents an approach to classification of family coats of arms and armorial achievement. It is difficult to obtain images with coats of arms because not many of them are publicly available. To the best of our knowledge, there is no dataset. Therefore, we artificially extend our dataset using Neural Style Transfer technique and simple image transformations. We describe our dataset and the division into training and test sets that respects the lack of data examples. We discuss results obtained with both small convolutional neural network (convnet) trained from scratch and modified architectures of various convents pretrained on Imagenet dataset. This paper further focuses on the VGG architecture which produces the best accuracy. We show accuracy progress during training, per-class accuracy and a normalized confusion matrix for VGG16 architecture. We reach top-1 accuracy of nearly 60% and top-5 accuracy of 80%. To the best of our knowledge, this is the first family coats of arms classification work, so we cannot compare our results with others.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Intelligent Systems Design and Applications

ISBN

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ISSN

2194-5357

e-ISSN

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Number of pages

9

Pages from-to

577-586

Publisher name

Springer International Publishing

Place of publication

Los Alamitos

Event location

Vellore

Event date

Dec 6, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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