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Showing result 1 - 5 of 37 essays matching the above criteria.

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

    University essay from Lunds universitet/Fysiska institutionen

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

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Axel Andersson; Nils Hallerfelt; [2024]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

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

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

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

    Abstract : 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. READ MORE

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

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

    Author : Tim Jonsson; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

  6. 5. 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