Sökning: "visual object recognition"

Visar resultat 1 - 5 av 34 uppsatser innehållade orden visual object recognition.

  1. 1. Exploration of performance evaluation metrics with deep-learning-based generic object detection for robot guidance systems

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Helena Gustafsson; [2023]
    Nyckelord :performance evaluation; robot guidance system; deep learning; object detection; instance segmentation;

    Sammanfattning : Robots are often used within the industry for automated tasks that are too dangerous, complex, or strenuous for humans, which leads to time and cost benefits. Robots can have an arm and a gripper to manipulate the world and sensors for eyes to be able to perceive the world. LÄS MER

  3. 2. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

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

    Författare :Gustav Henning; [2022]
    Nyckelord :Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

    Sammanfattning : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. LÄS MER

  4. 3. VISUAL DETECTION OF PERSONAL PROTECTIVE EQUIPMENT & SAFETY GEAR ON INDUSTRY WORKERS

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fredrik Strand; Jonathan Karlsson; [2022]
    Nyckelord :Machine learning; yolo; yolov4; cnn; ppe; personal protective equipment; object detection; computer vision; deep learning; artificial intelligence; ai; real-time object detection; real-time; safety; construction; workers; industry; face recognition;

    Sammanfattning : Workplace injuries are common in today's society due to a lack of adequately worn safety equipment. A system that only admits appropriately equipped personnel can be created to improve working conditions and worker safety. The goal is thus to develop a system that will improve construction workers' safety. LÄS MER

  5. 4. Self-Supervised Learning: Land Classification of Satellite Imagery

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Robert Skoglund; [2022]
    Nyckelord :Self-supervised learning; remote sensing; land classification; SimCLR; Mathematics and Statistics;

    Sammanfattning : The rise of self-supervised learning has granted a deeper level of generalized machine learning capable of learning semantic representations without any use of labelling. With 700 satellites orbiting Earth and generating terabytes of unlabelled data daily, satellite imagery serves as a particularly enticing data set for self-supervised learning, containing rich information with many applicable domains,such as agriculture. LÄS MER

  7. 5. Image Captioning On General Data And Fashion Data : An Attribute-Image-Combined Attention-Based Network for Image Captioning on Mutli-Object Images and Single-Object Images

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

    Författare :Guoyun Tu; [2020]
    Nyckelord :Image captioning; fashion data; attention based; text attributes; Bildtexter; modedata; uppmärksamhetsbaserat; textattribut;

    Sammanfattning : Image captioning is a crucial field across computer vision and natural language processing. It could be widely applied to high-volume web images, such as conveying image content to visually impaired users. Many methods are adopted in this area such as attention-based methods, semantic-concept based models. LÄS MER