Essays about: "generative model"

Showing result 21 - 25 of 222 essays containing the words generative model.

  1. 21. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Author : Punnawat Siripatthiti; [2023]
    Keywords : Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

    Abstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE

  2. 22. Unveiling the Values of ChatGPT : An Explorative Study on Human Values in AI Systems

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

    Author : Caroline Lindahl; Helin Saeid; [2023]
    Keywords : ChatGPT; World Values Survey; large language model; human values; machine learning; AI; generative AI; AI alignment;

    Abstract : Recent technological breakthroughs in natural language processing and artificial intelligence (AI) and the subsequent release of OpenAIs generative AI system, ChatGPT, have warranted much attention from researchers and the general public alike. Some with praise, foreseeing a brighter future for all, and some predicting the end of humanity. READ MORE

  3. 23. Scene Reconstruction From 4D Radar Data with GAN and Diffusion : A Hybrid Method Combining GAN and Diffusion for Generating Video Frames from 4D Radar Data

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

    Author : Alexandr Djadkin; [2023]
    Keywords : Deep generative models; Generative adversarial networks; Diffusion models; GAN; DGM; 4D imaging radar; Djupa generativa modeller; Generativa antagonistiska nätverk; Diffusionsmodeller; GAN; DGM; 4D-bildradar;

    Abstract : 4D Imaging Radar is increasingly becoming a critical component in various industries due to beamforming technology and hardware advancements. However, it does not replace visual data in the form of 2D images captured by an RGB camera. READ MORE

  4. 24. EVALUATING PERFORMANCE OF GENERATIVE MODELS FOR TIME SERIES SYNTHESIS

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

    Author : Muhammad Junaid Haris; [2023]
    Keywords : GAN; Generative Adversarial Network; VQ-VAE; Vector Quantized Variational AutoEncoder; AutoEncoder; VAE; Time Series; Synthesizing; Data Synthesis;

    Abstract : Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation behind this work is to address the limitations of existing generative models in accurately capturing the underlying structure and patterns of time series data, especially when dealing with categorical features. READ MORE

  5. 25. Generation of Synthetic Traffic Sign Images using Diffusion Models

    University essay from Linköpings universitet/Datorseende

    Author : Johanna Carlson; Lovisa Byman; [2023]
    Keywords : Machine Learning; Computer Vision; Diffusion Models; Traffic Sign Recognition; Traffic Sign Classification; Synthetic Data; Maskininlärning; Datorseende; Diffusionsmodeller; Trafikskyltsigenkänning; Trafikskyltsklassificering; Syntetisk data;

    Abstract : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. READ MORE