Essays about: "Bildsegmentering"

Showing result 16 - 20 of 32 essays containing the word Bildsegmentering.

  1. 16. Influential Learning : Knowledge Sharing between Artificial Neural Networks for Autonomous Vehicles

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

    Author : Jonny Sparrenhök; [2021]
    Keywords : ;

    Abstract : Autonomous vehicles may be a part of our future no matter if we like it or not. The technology developed for self-driving have already outperformed humans in multiple aspects but involves systems that are prone to failure. READ MORE

  3. 17. Resource-efficient image segmentation using self-supervision and active learning

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Muriel Max; [2021]
    Keywords : Image Segmentation; Deep Learning; Active Learning; Self-supervision; Pretraining; Bildsegmentering; Djupinlärning; Active Learning; självövervakad träning; Pre-training;

    Abstract : Neural Networks have been demonstrated to perform well in computer vision tasks, especially in the field of semantic segmentation, where a classification is performed on a per pixel-level. Using deep learning can reduce time and effort in comparison to manual segmentation, however, the performance of neural networks highly depends on the data quality and quantity, which is costly and time-consuming to obtain; especially for image segmentation tasks. READ MORE

  4. 18. Graph Learning as a Basis for Image Segmentation

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

    Author : Kim Lundbeck; Wille Eriksson; [2020]
    Keywords : Graph Signal Processing; Image segmentation; Graph Learning;

    Abstract : Graph signal processing is a field concerning theprocessing of graphs with data associated to their vertices, oftenin the purpose of modeling networks. One area of this fieldthat has been under research in recent years is the developmentof frameworks for learning graph topologies from such data. READ MORE

  5. 19. Medical Image Segmentation using Attention-Based Deep Neural Networks

    University essay from KTH/Medicinsk avbildning

    Author : Mohamed Ahmed; [2020]
    Keywords : Attention Networks; Squeeze and Excitation; Dual Attention Networks; Medical Image Segmentation; UNet;

    Abstract : During the last few years, segmentation architectures based on deep learning achieved promising results. On the other hand, attention networks have been invented years back and used in different tasks but rarely used in medical applications. READ MORE

  6. 20. Semantic Image Segmentation on Clothing Imagery with Deep Neural Networks

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

    Author : Helena Alinder; [2020]
    Keywords : ;

    Abstract : Semantic Image Segmentation is a field within machine learning and computer vision, where the goal is to link each pixel in an image with a label. A successful segmentation will label all pixels that belong to an object with the correct label, and this prediction can be measured with a score known as mean Intersection over Union (mIoU). READ MORE