Sökning: "data augmentations"

Visar resultat 1 - 5 av 37 uppsatser innehållade orden data augmentations.

  1. 1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen

    Författare :Max Svensson; [2024]
    Nyckelord :Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Sammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER

  3. 2. Data Augmentation for Object Detection using Deep Reinforcement Learning

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Axel Andersson; Nils Hallerfelt; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. LÄS MER

  4. 3. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :John Moberg; Jonathan Widén; [2023]
    Nyckelord :Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

    Sammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER

  5. 4. Classification of Radar Emitters using Semi-Supervised Contrastive Learning

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

    Författare :Tim Jonsson; [2023]
    Nyckelord :;

    Sammanfattning : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. LÄS MER

  7. 5. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

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

    Sammanfattning : 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. LÄS MER