Sökning: "image resizing"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden image resizing.

  1. 1. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

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

    Författare :Laura Murphy; [2023]
    Nyckelord :Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

    Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER

  3. 2. Using Approximate Computing Circuits to Optimize Power of an ASIC

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Padmashree Nuggehalli Srinivasa; Shi-Tien Hsing; [2023]
    Nyckelord :ASIC; Power; Optimization; Approximate Arithmetic Circuits; Approximate Computing; Technology; Technology and Engineering;

    Sammanfattning : The growing demand for network cameras to support real-time image processing and machine-learning applications has created a need for low-power solutions. Although technology scaling makes complex computations feasible, voltage scaling is limited, leading to higher power density and dark silicon problems. LÄS MER

  4. 3. AI-Driven Image Manipulation : Image Outpainting Applied on Fashion Images

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Alexander Mennborg; [2021]
    Nyckelord :image outpainting; fashion images; product images; image cropping; image resizing; convolutional neural networks; generative adversarial networks;

    Sammanfattning : The e-commerce industry frequently has to deal with displaying product images in a website where the images are provided by the selling partners. The images in question can have drastically different aspect ratios and resolutions which makes it harder to present them while maintaining a coherent user experience. LÄS MER

  5. 4. A One-stage Detector for Extremely-small Objects Based on Feature Pyramid Network

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

    Författare :Yini Gao; [2020]
    Nyckelord :;

    Sammanfattning : Thanks to the recent development in Graphics Processing Unit (GPU) and deep neural network, outstanding enhancement has been made in real-time and multi-scale object detection. However, most of these detectors ignore the situations where the target needs to be identified is extremely-small corresponding to the size of the image or video. LÄS MER

  7. 5. Improving Perceived Image Quality for Automotive Applications using Sub-pixel Rendering

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

    Författare :Maxime Lefray; [2018]
    Nyckelord :;

    Sammanfattning : The worldwide automotive market is constantly evolving due to digitalization.Vehicles manufacturers introduce more and more digitalized human-machinesinterfaces by adding screens in cars. Nowadays a majority of cars have twoscreens: one used for navigation and another one to display technical parameterssuch as speed or gas consumption. LÄS MER