Essays about: "Semantic Segmentation"
Showing result 36 - 40 of 152 essays containing the words Semantic Segmentation.
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36. Radar Detection Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. READ MORE
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37. Measuring Porosity in Ceramic Coating using Convolutional Neural Networks and Semantic Segmentation
University essay from Linköpings universitet/DatorseendeAbstract : Ceramic materials contain several defects, one of which is porosity. At the time of writing, porosity measurement is a manual and time-consuming process performed by a human operator. READ MORE
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38. Sample Image Segmentation of Microscope Slides
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : In tropical and subtropical countries with bad infrastructure there exists diseases which are often neglected and untreated. Some of these diseases are caused by parasitic intestinal worms which most often affect children severely. The worms spread through parasite eggs in human stool that end up in arable soil and drinking water. READ MORE
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39. Online Unsupervised Domain Adaptation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning models have seen great application in demanding tasks such as machine translation and autonomous driving. However, building such models has proved challenging, both from a computational perspective and due to the requirement of a plethora of annotated data. READ MORE
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40. Off-road Driving with Deteriorated Road Conditions for Autonomous Driving Systems
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Recent studies on robustness of machine learning systems shows that today’s autonomous vehicles struggle with very basic visual disturbances such as rain or snow. There is also a lack of training data that includes off road scenes or scenes with different forms of deformation to the road surface. READ MORE