Sökning: "Fashion Classification"

Visar resultat 1 - 5 av 39 uppsatser innehållade orden Fashion Classification.

  1. 1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

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

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  3. 2. EU Copyright and Trade Mark Law: a unifying lens for the protection of Fashion Designs? : Analysis and research into a better understanding of the concepts of originality and distinctiveness

    Magister-uppsats, Stockholms universitet/Juridiska institutionen

    Författare :Laureen Schuldt; [2023]
    Nyckelord :;

    Sammanfattning : As one of the largest and most important sectors, the fashion industry holds a significant position in the global economy. Consequently, ensuring legal protection for fashion designs is of utmost importance to designers and fashion brands alike. As sui generis regime, EU design rights are tailored to the protection of fashion. LÄS MER

  4. 3. Anomalous Behavior Detection in Aircraft based Automatic Dependent Surveillance–Broadcast (ADS-B) system using Deep Graph Convolution and Generative model (GA-GAN)

    Magister-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Jayesh Kenaudekar; [2022]
    Nyckelord :Intrusion detection aircraft aviation security adsb protocol AI deep learning machine learning graph generative model surveillance broadcast;

    Sammanfattning : The Automatic Dependent Surveillance-Broadcast (ADS-B) is a key component of the Next Generation Air Transportation System (Next Gen) that manages the increasingly congested airspace and operation. From Jan 2020, the U.S. Federal Aviation Administration (FAA) mandated the use of (ADS-B) as a key component of Next Gen project. LÄS MER

  5. 4. Comparison of Discriminative and Generative Image Classifiers

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

    Författare :Simon Budh; William Grip; [2022]
    Nyckelord :Image classification; CNN; Normalizing flows; RealNVP; Adversarial examples;

    Sammanfattning : In this report a discriminative and a generative image classifier, used for classification of images with handwritten digits from zero to nine, are compared. The aim of this project was to compare the accuracy of the two classifiers in absence and presence of perturbations to the images. LÄS MER

  7. 5. The research of background removal applied to fashion data : The necessity analysis of background removal for fashion data

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

    Författare :Junhui Liang; [2022]
    Nyckelord :Background Removal; Fashion Analysis; Salient Object Detection;

    Sammanfattning : Fashion understanding is a hot topic in computer vision, with many applications having a great business value in the market. It remains a difficult challenge for computer vision due to the immense diversity of garments and a wide range of scenes and backgrounds. LÄS MER