Essays about: "map inference"
Showing result 1 - 5 of 34 essays containing the words map inference.
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1. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. READ MORE
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2. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. READ MORE
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3. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE
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4. Multi-Resolution Inference of Bathymetry From Sidescan Sonar
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : How to obtain complete and high-resolution bathymetry is an important research topic in the underwater domain. However, existing methods have certain shortcomings. Multibeam echosounder (MBES) can produce narrow beam range readings of the seafloor, but there is an interval between every two beams (between 10cm to 10m), and the resolution is low. READ MORE
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5. Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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. READ MORE
