Sökning: "YOLO-v4"

Hittade 1 uppsats innehållade ordet YOLO-v4.

  1. 1. Enhancing Simulated Sonar Images With CycleGAN for Deep Learning in Autonomous Underwater Vehicles

    Master-uppsats, KTH/Matematisk statistik

    Författare :Aron Norén; [2021]
    Nyckelord :Deep Learning; Machine Learning; Sonar; Simulation; GAN; cycleGAN; YOLO-v4; Data Sparsity; Uncertainty Estimations; Djupinlärning; maskininlärning; sonar; simulering; GAN; cycleGAN; YOLO-v4; gles data; osäkerhetsanalys;

    Sammanfattning : This thesis addresses the issues of data sparsity in the sonar domain. A data pipeline is set up to generate and enhance sonar data. The possibilities and limitations of using cycleGAN as a tool to enhance simulated sonar images for the purpose of training neural networks for detection and classification is studied. LÄS MER