Essays about: "Single Shot MultiBox Detector"
Showing result 1 - 5 of 7 essays containing the words Single Shot MultiBox Detector.
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1. Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : Analysis of peripheral blood smears is commonly used to aid physicians in diagnosing diseases, checking for infections and evaluating the function of organs. One object of interest in such analysis is the presence of red blood cell aggregates called rouleaux. READ MORE
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2. Air Reconnaissance Analysis using Convolutional Neural Network-based Object Detection
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : The Swedish armed forces use the Single Source Intelligent Cell (SSIC), developed by Saab, for analysis of aerial reconnaissance video and report generation. The analysis can be time-consuming and demanding for a human operator. In the analysis workflow, identifying vehicles is an important part of the work. READ MORE
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3. Visual Object Detection using Convolutional Neural Networks in a Virtual Environment
University essay from Linköpings universitet/DatorseendeAbstract : Visual object detection is a popular computer vision task that has been intensively investigated using deep learning on real data. However, data from virtual environments have not received the same attention. A virtual environment enables generating data for locations that are not easily reachable for data collection, e.g. READ MORE
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4. SSC: Single-Shot Multiscale Counter. : Counting Generic Objects in Images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Counting object in pictures is a computer vision task that has been explored in the past years, achieving state-of-the-art results thanks to the rise of convolutional neural networks. Most of the work focused on specific and limited domains to predict the number of just one category in the likes of people, cars, cells, and animals. READ MORE
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5. Real-time object detection for autonomous vehicles using deep learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Self-driving systems are commonly categorized into three subsystems: perception, planning, and control. In this thesis, the perception problem is studied in the context of real-time object detection for autonomous vehicles. READ MORE
