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Hittade 4 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Image Colorization Based on Deep Learning

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

    Författare :Tao Deng; [2023]
    Nyckelord :Image colorization; Deep Learning; Convolutional Neural Network; Generative Adversarial Network; Färgläggning av bilder; djupinlärning; Konvolutionella Neurala Nätverk; Generativa Adversariella Nätverk;

    Sammanfattning : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. LÄS MER

  3. 2. Genre style transfer : Symbolic genre style transfer utilising GAN with additional genre-enforcing discriminators

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Leif Sulaiman; Sebastian Larsson; [2022]
    Nyckelord :Artificial Intelligence; Machine Learning; Deep Learning; Generative Adversarial Network; Variational Autoencoder; CycleGAN; Music; Style Transfer; Neural Network;

    Sammanfattning : Style transfer using Generative adversarial networks (GANs) has been successful in recent publications. One field in style transfer is music style transfer, in which a piece of music is transformed in some way, be it through genre-, harmonic-, rhythmic transfer, etc. LÄS MER

  4. 3. Advanced Data Augmentation : With Generative Adversarial Networks and Computer-Aided Design

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Ludwig Thaung; [2020]
    Nyckelord :computer vision; machine learning; YOLO; GANs; data augmentation; object recognition; object detection; CAD;

    Sammanfattning : CNN-based (Convolutional Neural Network) visual object detectors often reach human level of accuracy but need to be trained with large amounts of manually annotated data. Collecting and annotating this data can frequently be time-consuming and financially expensive. LÄS MER

  5. 4. Generation of synthetic plant images using deep learning architecture

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Ramya Sree Kola; [2019]
    Nyckelord :generative adversarial network; machine learning; style transfer; style GAN; deep learning; FID; Inception score; google vm; leafsnap dataset;

    Sammanfattning : Background: Generative Adversarial Networks (Goodfellow et al., 2014) (GANs)are the current state of the art machine learning data generating systems. Designed with two neural networks in the initial architecture proposal, generator and discriminator. LÄS MER