Sökning: "color self similarity"

Hittade 3 uppsatser innehållade orden color self similarity.

  1. 1. Evaluating the effects of data augmentations for specific latent features : Using self-supervised learning

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Markus Ingemarsson; Jacob Henningsson; [2022]
    Nyckelord :Contrastive learning; data augmentations; deep learning; invariant features; machine learning; representation similarity analysis; self-supervised learning; SimCLR; Kontrast inlärning; datamodifieringar; djupinlärning; maskininlärning; SimCLR; självövervakat lärande; oföränderliga egenskaper; representativ likhetsanalys;

    Sammanfattning : Supervised learning requires labeled data which is cumbersome to produce, making it costly and time-consuming. SimCLR is a self-supervising framework that uses data augmentations to learn without labels. This thesis investigates how well cropping and color distorting augmentations work for two datasets, MPI3D and Causal3DIdent. LÄS MER

  3. 2. Quality and real-time performance assessment of color-correction methods : A comparison between histogram-based prefiltering and global color transfer

    Kandidat-uppsats, Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Författare :Linus Nilsson; [2018]
    Nyckelord :GPU; Color correction; Computer vision; Color transfer; Histogram-based prefiltering;

    Sammanfattning : In the field of computer vision and more specifically multi-camera systems color correction is an important topic of discussion. The need for color-tone similarity among multiple images that are used to construct a single scene is self-evident. LÄS MER

  4. 3. Color Features for Boosted Pedestrian Detection

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Niklas Hansson; [2015]
    Nyckelord :Pedestrian detection; boosting; color self similarity; color features;

    Sammanfattning : The car has increasingly become more and more intelligent throughout the years. Today's radar and vision based safety systems can warn a driver and brake the vehicle automatically if obstacles are detected. Research projects such as the Google Car have even succeeded in creating fully autonomous cars. LÄS MER