Essays about: "CGAN"

Showing result 1 - 5 of 6 essays containing the word CGAN.

1. 1. Impact of GAN methods for theHandwritten Digit Classification inHandwritten Document Images

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Athul Velagapudi; [2023]
   Keywords : Classification; Machine learning; Deep learning; GANS; Feature extrac- tion;

   Abstract : Background: GANs are well-known for their ability to generate realistic fake sample data, which can be audio, images, and videos. The application areas of GANs have increased their popularity in recent years. The first and best feature of GANs is their learning nature, characterized by powerful learning. READ MORE

3. 2. Limitations of cGAN in functional area division for interior design

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

   Author : Julia Sommarlund; [2022]
   Keywords : Neural network; Conditional generative adversarial network; Interior design; Automated design; Neurala nätverk; Villkorligt generativt motståndsnätverk; Interiördesign; Automatiserad design;

   Abstract : A process that historically has been hard to automate is interior design, mainly due to its subjective nature and lack of obvious guidelines. Scientifically, there is interest to examine if subjective processes can be automated using black box algorithms such as neural networks, as well as corporate interest in this subject to increase efficiency and create systems for automated floor plan design. READ MORE

4. 3. Synthetic Image Generation Using GANs : Generating Class Specific Images of Bacterial Growth

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Marianne Mattila; [2021]
   Keywords : Synthetic image generation; synthetic data; generative model; GAN; GAN evaluation;

   Abstract : Mastitis is the most common disease affecting Swedish milk cows. Automatic image classification can be useful for quickly classifying the bacteria causing this inflammation, in turn making it possible to start treatment more quickly. However, training an automatic classifier relies on the availability of data. READ MORE

5. 4. 3D Dose Prediction from Partial Dose Calculations using Convolutional Deep Learning models

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

   Author : Sergio Felipe Liberman Bronfman; [2021]
   Keywords : Machine learning; Modeling and simulation; Life and medical sciences; Predictive models; Artificial Neural Networks; Physics computing; Maskininlärning; Modellering och simulering; Livs och medicinska vetenskaper; Förutsägbara modeller; Artificiellt neurala nätverk; Fysikberäkning;

   Abstract : In this thesis, the problem of predicting the full dose distribution from a partially modeled dose calculation is addressed. Two solutions were studied: a vanilla Hierarchically Densely Connected U-net (HDUnet) and a Conditional Generative Adversarial Network (CGAN) with HDUnet as a generator. READ MORE

6. 5. Reconstruction of Hyperspectral Images Using Generative Adversarial Networks

   University essay from Linköpings universitet/Reglerteknik

   Author : Jacob Eek; [2021]
   Keywords : Coded aperture snapshot spectral imaging; CASSI; Raman; Raman spectroscopy; Explosive; Detection; Hyperspectral Image; HSI; Compressed sensing; Compressive Sensing; CS; Machine Learning; Reconstruction; Inverse problem; Generative Adversarial Network; GAN; CGAN; BEGAN; Latent variable optimization;

   Abstract : Fast detection and identification of unknown substances is an area of interest for many parties. Raman spectroscopy is a laser-based method allowing for long range no contact investigation of substances. READ MORE