Sökning: "image domain"

Visar resultat 1 - 5 av 203 uppsatser innehållade orden image domain.

  1. 1. Automatic Semantic Segmentation of Indoor Datasets

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Swaroop Rachakonda; [2024]
    Nyckelord :Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Sammanfattning : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. LÄS MER

  3. 2. Risk analysis of implementing Machine Learning in construction projects

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Aki Roy; [2024]
    Nyckelord :Construction; Machine Learning; Unstructured Data; Image Processing; Text Processing; Project Analysis; Data Management; Risk Identification;

    Sammanfattning : Machine Learning has significantly influenced development across domains by leveraging incoming and existing data. However, despite its advancements, criticism persists regarding its failure to adequately address real-world problems, with the construction domain being an example. LÄS MER

  4. 3. Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Liam Le Tran; Edina Dedovic; [2023-10-24]
    Nyckelord :Facial Expression Recognition; FACS; Action Units; styleGAN2-ada; synthetic data; Image Quality Assessment; Multi-stage Pre-training; Pipeline Processing; Semi-automated Human Annotation;

    Sammanfattning : Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the impact of treatment on emotions and social functioning. This thesis aims to improve performance of a FER model using large scale of synthetic data. LÄS MER

  5. 4. TRUST ONLINE: Visual Cues for Trustworthy News

    Kandidat-uppsats, Institutionen för tillämpad informationsteknologi

    Författare :Marco Helin; Tim Zetterqvist; [2023-02-01]
    Nyckelord :Trustworthiness; news articles; domain suffix; associated images; comment;

    Sammanfattning : This study was born in the light of the Swedish Civil Contingencies Agency’s (MSB) release of a handbook on how to counter information influence activities, along with a growing distrust placed upon media outlets by the public. The purpose of this experiment was to test knowledge from earlier research in the e-commerce domain on what makes a website perceived as trustworthy but applied and tested on images of news articles. LÄS MER

  7. 5. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Författare :Kobe Moerman; [2023]
    Nyckelord :3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER