Essays about: "region-based convolutional neural network"

Showing result 1 - 5 of 8 essays containing the words region-based convolutional neural network.

  1. 1. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Vivian Wang; Lidia Yalew; [2023-10-19]
    Keywords : Deep learning; Convolutional neural network; LC-MS; Peak Detection; Metabolomics; Faster R-CNN;

    Abstract : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. READ MORE

  3. 2. Reliable Detection of Water Areas in Multispectral Drone Imagery : A faster region-based CNN model for accurately identifying the location of small-scale standing water bodies

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shengyao Shangguan; [2023]
    Keywords : Water Detection; Faster region-based convolutional neural networks; Multiple images; Convolutional neural networks; Random Forest; Vattendetektering; Snabbare regionbaserade konvolutionella neurala nätverk; Flera bilder; Konvolutionella neurala nätverk; Random Forest;

    Abstract : Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of water. READ MORE

  4. 3. Comparison of Player Tracking-by-Detection Algorithms in Football Videos

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Suping Shi; [2020]
    Keywords : ;

    Abstract : In recent years, increasing demands on sports analytics have triggered growing research interest in automatic player tracking-by-detection approaches. Two prominent branches in this area are Convolutional Neural Network (CNN)-based visual object detectors and histogram-based detectors. READ MORE

  5. 4. Region Proposal Based Object Detectors Integrated With an Extended Kalman Filter for a Robust Detect-Tracking Algorithm

    University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Author : Gabriel Khajo; [2019]
    Keywords : Object Detection; Extended Kalman Filter; Tracking;

    Abstract : In this thesis we present a detect-tracking algorithm (see figure 3.1) that combines the detection robustness of static region proposal based object detectors, like the faster region convolutional neural network (R-CNN) and the region-based fully convolutional networks (R-FCN) model, with the tracking prediction strength of extended Kalman filters, by using, what we have called, a translating and non-rigid user input region of interest (RoI-) mapping. READ MORE

  6. 5. Object Detection in Domain Specific Stereo-Analysed Satellite Images

    University essay from Linköpings universitet/Datorseende

    Author : Fredrik Grahn; Kristian Nilsson; [2019]
    Keywords : object detection; object classification; clustering; hierarchical clustering; object localisation; machine learning; ai; image localisation; image segmentation; semantic segmentation; remote sensing images; satellite images; domain knowledge; support vector machines; svm; convolutional neural network; cnn; fully convolutional network; fcn; region-based convolutional neural network; you only look once; yolo; network fusion;

    Abstract : Given satellite images with accompanying pixel classifications and elevation data, we propose different solutions to object detection. The first method uses hierarchical clustering for segmentation and then employs different methods of classification. READ MORE