Essays about: "Semantic Segmentation"
Showing result 31 - 35 of 152 essays containing the words Semantic Segmentation.
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31. Digital Marketing Strategies for Startups in the Fitness Industry : A research paper providing a clear picture of how startups in the fitness industry should allocate their resources to achieve the most output
University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknikAbstract : Date: 2022-06-02 Level: Bachelor Thesis in Business Administration, 15cr Institution: School of Business, Society, and Engineering, Mälardalen University Authors: Samuel Andersson Emma Berg Albin Lundgren 99/09/15 99/08/12 99/04/03 Title: Digital Marketing Strategies for Startups in the Fitness Industry Supervisor: Ali Farashah Keywords: Digital Marketing, Startups, Physical Fitness, Social Media, Big Data Research Question: What digital marketing strategies do startups in the fitness industry implement to position their brand to targeted customers in the absence of big data? Purpose: This study aims to provide fitness startups with information to reach their target customers without the use of big data, as well as which marketing strategy is the most effective for a startup. Method: The approach of this study was a qualitative approach. READ MORE
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32. Aerial View Image-Goal Localization with Reinforcement Learning
University essay from Lunds universitet/Matematik LTHAbstract : With an increased amount and availability of unmanned aerial vehicles (UAVs) and other remote sensing devices (e.g. satellites) we have recently seen an explosion in computer vision methodologies tailored towards processing and understanding aerial view data. READ MORE
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33. LiDAR Point Cloud De-noising for Adverse Weather
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Light Detection And Ranging (LiDAR) is a hot topic today primarily because of its vast importance within autonomous vehicles. LiDAR sensors are capable of capturing and identifying objects in the 3D environment. However, a drawback of LiDAR is that they perform poorly under adverse weather conditions. READ MORE
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34. Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : The purpose of this thesis was to explore deep learning methods of segmentation, classification and tracking of objects in LiDAR data. To do this a complete pipeline was developed, consisting of background filtering, clustering, tracking, labeling and visualization. READ MORE
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35. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds
University essay from Lunds universitet/Matematik LTHAbstract : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. READ MORE