Sökning: "Leonardo Remondini"

Hittade 1 uppsats innehållade orden Leonardo Remondini.

  1. 1. GVT-BDNet : Convolutional Neural Network with Global Voxel Transformer Operators for Building Damage Assessment

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Leonardo Remondini; [2021]
    Nyckelord :Attention Operators; Convolutional Neural Networks CNNs ; Deep Learning; Building Damage Assessment; Generalizability; Global Voxel Transformer Operators GVTOs .; Attention Operators; Convolutional Neural Networks CNNs ; Deep Learning; Building Damage Assessment; Generalizability; Global Voxel Transformer Operators GVTOs .;

    Sammanfattning : Natural disasters strike anywhere, disrupting local communication and transportation infrastructure, making the process of assessing specific local damage difficult, dangerous, and slow. The goal of Building Damage Assessment (BDA) is to quickly and accurately estimate the location, cause, and severity of the damage to maximize the efficiency of rescuers and saved lives. LÄS MER