Essays about: "Mask R-CNN"
Showing result 16 - 20 of 29 essays containing the words Mask R-CNN.
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16. Evaluate Machine Learning Model to Better Understand Cutting in Wood
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Wood cutting properties for the chains of chainsaw is measured in the lab by analyzing the force, torque, consumed power and other aspects of the chain as it cuts through the wood log. One of the essential properties of the chains is the cutting efficiency which is the measured cutting surface per the power used for cutting per the time unit. READ MORE
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17. Document Layout Analysis for Historical Documents
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this project, a state-of-the-art CV model called Mask Region Based Convolutional Neural Networks (Mask R-CNN) was trained, to process the layout analysis of historical documents.In addition, a practical webpage is designed, which includes a front-end for interaction, a back-end that supports search and filter functions, and a MongoDB database. READ MORE
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18. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Parsing floorplans have been a problem in automatic document analysis for long and have up until recent years been approached with algorithmic methods. With the rise of convolutional neural networks (CNN), this problem too has seen an upswing in performance. READ MORE
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19. Building Detection in Deformed Satellite Images Using Mask R-CNN
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: In the recent research of automatic building detection, aerial and satellite images are used. Automatic building detection from satellite images is useful for urban planning, after natural disasters for identifying the voids. READ MORE
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20. Instance Segmentation of Buildings in Satellite Images
University essay from Linköpings universitet/DatorseendeAbstract : When creating a photo realistic 3D model of the world using satellite imagery, image classification is an important part of the process. In this thesis the specificpart of automated building extraction is investigated. READ MORE