Essays about: "Semantic Segmentation"

Showing result 26 - 30 of 152 essays containing the words Semantic Segmentation.

  1. 26. Locating power lines in satellite images with semantic segmentation

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Erik Lundman; [2022]
    Keywords : AI; Machine learning; Semantic segmentation; Power lines; Satellite images;

    Abstract : The inspection of power lines is an important process to maintain a stable electrical infrastructure. Simultaneously it is very time consuming task considering there are 164 000 km of power lines in Sweden alone. A cheaper and more sustainable approach is an automatic inspection with drones. READ MORE

  3. 27. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    University essay from KTH/Fastigheter och byggande

    Author : Egil Morast; [2022]
    Keywords : Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Abstract : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. READ MORE

  4. 28. Mixed Precision Quantization for Computer Vision Tasks in Autonomous Driving

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

    Author : Sri Janani Rengarajan; [2022]
    Keywords : Quantization; Neural Networks; Quantization Aware Training; Mixed precision; Semantic segmentation; Hessian; Kvantisering; Neurala nätverk; Kvantiseringsmedveten träning; Blandad precision; Semantisk segmentering; Hessian;

    Abstract : Quantization of Neural Networks is popular technique for adopting computation intensive Deep Learning applications to edge devices. In this work, low bit mixed precision quantization of FPN-Resnet18 model trained for the task of semantic segmentation is explored using Cityscapes and Arriver datasets. READ MORE

  5. 29. Instance Segmentation on depth images using Swin Transformer for improved accuracy on indoor images

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Alfred Hagberg; Mustaf Abdullahi Musse; [2022]
    Keywords : Instance Segmentation; segmentation; deep learning; semantic segmentation; swin transformer; mask rcnn; rcnn; cascade mask rcnn; slam; simultaneous localization and mapping; object detection; COCO; NYU dataset; vision transformer;

    Abstract : The Simultaneous Localisation And Mapping (SLAM) problem is an open fundamental problem in autonomous mobile robotics. One of the latest most researched techniques used to enhance the SLAM methods is instance segmentation. READ MORE

  6. 30. Particle Segmentation In Transmission Electron Microscopy Images

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Lisa Svens; [2022]
    Keywords : ;

    Abstract : When pharmaceutical companies develop new drugs or vaccines there are large amounts of data in the form of images that need to be analysed, and any automation of that process is helpful to reduce time. These analyses could be for example concentration, decomposition, or classification, and essential to all these is high-quality particle localisation and segmentation. READ MORE