Sökning: "object learning"

Visar resultat 1 - 5 av 255 uppsatser innehållade orden object learning.

  1. 1. Deep Neural Network Compression for Object Detection and Uncertainty Quantification

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Mohammad Ahraz Asif; Georgios Tzelepis; [2019-11-21]
    Nyckelord :Deep Learning; Model Compression; Knowledge Distillation; Bayesian Deep Learning; Object Detection;

    Sammanfattning : Neural networks have been notorious for being computational expensive. Their demand for hardware resources prohibits their extensive use in embedded devices and puts restrictions on tasks like real time tracking. LÄS MER

  2. 2. Fast visual grounding in interaction

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :José Miguel Cano Santín; [2019-10-04]
    Nyckelord :grounding; object learning; interactive learning; transfer learning; neural networks;

    Sammanfattning : A big challenge for the development situated agents is that they need to be capable of grounding real objects of their enviroment to representations with semantic meaning, so they can be comunicated to human agents using the human language. de Graaf (2016) developed the KILLE framework, which is a static camerabasedrobot capable of learning objects and spatial relations from very few samples using image processing algorithms suitable for learning from few samples. LÄS MER

  3. 3. Dokumentation av båtar

    Master-uppsats, Göteborgs universitet/Institutionen för kulturvård

    Författare :Fredrik Leijonhufvud; [2019-05-23]
    Nyckelord :Documentation; Maritime Heritage; Photogrammetry; Craft Science; Forensic Perspective;

    Sammanfattning : Uppsats för avläggande av filosofie masterexamen med huvudområdet kulturvård2019, 60 hpAvancerad nivå2019.01... LÄS MER

  4. 4. Object Detection in Object Tracking System for Mobile Robot Application

    Master-uppsats, KTH/Matematisk statistik

    Författare :Alessandro Foa'; [2019]
    Nyckelord :;

    Sammanfattning : This thesis work takes place at the Emerging Technologies department of Volvo Construction Equipment(CE), in the context of a larger project which involves several students. The focus is a mobile robot built by Volvo for testing some AI features such as Decision Making, Natural Language Processing, Speech Recognition, Object Detection. LÄS MER

  5. 5. Region Proposal Based Object Detectors Integrated With an Extended Kalman Filter for a Robust Detect-Tracking Algorithm

    Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Gabriel Khajo; [2019]
    Nyckelord :Object Detection; Extended Kalman Filter; Tracking;

    Sammanfattning : In this thesis we present a detect-tracking algorithm (see figure 3.1) that combines the detection robustness of static region proposal based object detectors, like the faster region convolutional neural network (R-CNN) and the region-based fully convolutional networks (R-FCN) model, with the tracking prediction strength of extended Kalman filters, by using, what we have called, a translating and non-rigid user input region of interest (RoI-) mapping. LÄS MER