Sökning: "mask r-cnn"
Visar resultat 1 - 5 av 30 uppsatser innehållade orden mask r-cnn.
1. Instance segmentation using 2.5D data
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation. LÄS MER
2. En analys av strukturellafaktorer inom planlösningar : En metod baserad på djupinlärning, för att extrahera information och bedöma samband med lägenhetspriser.
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3Sammanfattning : The housing market is influenced by various factors that impact the pricing of properties. One such factor is the internal layout and structure of the estate, which is typically represented by a floor plan. Real estate agents commonly use floor plans to provide buyers with a comprehensive overview of the property. LÄS MER
3. Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis tries to find a methodology that create a working pipeline for building facade parsing, which allows to access large scale panorama imagery from Google Street View (GSV) and implement on deep learning models. We propose a semiautomated pipeline that integrates multiple systems for large-scale building facade parsing. LÄS MER
4. Object Detection via Contextual Information
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. LÄS MER
5. Detection of Pests in Agriculture Using Machine Learning
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Pest inventory of a field is a way of knowing when the thresholds for pest controlis reached. It is of increasing interest to use machine learning to automate thisprocess, however, many challenges arise with detection of small insects both intraps and on plants. LÄS MER