Sketch2Code: Automatic hand-drawn UI elements detection with Faster R-CNN

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00536724" target="_blank" >RIV/67985556:_____/20:00536724 - isvavai.cz</a>
Alternative codes found
RIV/49777513:23520/20:43959883
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Sketch2Code: Automatic hand-drawn UI elements detection with Faster R-CNN
Original language description
Transcription of User Interface (UI) elements hand drawings to the computer code is a tedious and repetitive task. Therefore, a need arose to create a system capable of automating such process. This paper describes a deep learning-based method for hand-drawn user interface elements detection and localization. The proposed method scored 1st place in the ImageCLEFdrawnUI competition while achieving an overall precision of 0.9708. The final method is based on Faster R-CNN object detector framework with ResNet-50 backbone architecture trained with advanced regularization techniques. The code has been made available at: https://github.com/picekl/ImageCLEF2020-DrawnUI.n
Czech name
—
Czech description
—

Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
CEUR Workshop Proceedings : Volume 2696. Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum
ISBN
—
ISSN
1613-0073
e-ISSN
—
Number of pages
9
Pages from-to
82
Publisher name
CEUR-WS.org
Place of publication
Achen
Event location
Thessaloniki
Event date
Sep 22, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)