Detekcija objekata bazirana na dubokim neuronskim mrežama bez predefiniranih sidrenih okvira

undergraduate thesis

• Title (english): Object Detection Based on Anchor-free Deep Neural Networks
• Author: Miljenko Muha
• Mentor: Sven Lončarić (mentor)
• Committee member: Sven Lončarić (predsjednik povjerenstva)
• Committee member: Luka Posilović (član povjerenstva)
• Committee member: Donik Vršnak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-01, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Detekcija objekata jedan je od aktualnih i složenih problema računalnog vida. Detektori
objekata mogu se podijeliti na one koji koriste predefinirane sidrene okvire i
one koji ih ne koriste. Ovaj rad detaljno opisuje rad neuronskih mreža i konvolucijskih
neuronskih mreža koje se koriste u analizi slike. Nakon toga opisuje se arhitektura
nekih poznatijih detektora koji ne koriste predefinirane sidrene okvire. To su FCOS,
CornerNet i CenterNet. FCOS je uzet kao predstavnik ove skupine, a Faster R-CNN
kao predstavnik detektora koji koriste predefinirane sidrene okvire. Performanse ova
dva detektora testirana su i uspoređena na DOTA skupu podataka.

Abstract (english)

Object detection is currently one of the most complex computer vision tasks. Object
detectors can be divided into two groups: anchor-based detectors and anchor-free
detectors. This thesis describes in detail neural networks and convolutional neural
networks used in image analysis. After that, it also describes the architecture of
some of the most well-known anchor-free detectors: FCOS, CornerNet and Center-
Net. FCOS was chosen as representative of this group and Faster R-CNN was chosen
as representative of anchor-based detectors. Performances of these two detectors were
tested and compared on DOTA dataset.

• Keywords: umjetna inteligencija; strojno učenje; duboko učenje; neuronske mreže; konvolucijske neuronske mreže; analiza slike; detekcija objekata; računalni vid; predefinirani sidreni okviri
• Keywords (english): artificial intelligence; machine learning; deep learning; neural networks; convolutional neural networks; image analysis; object detection; computer vision; anchors
• Language: croatian
• URN:NBN: urn:nbn:hr:168:759899
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-15 10:54:35