Sökning: "map inference"

Visar resultat 1 - 5 av 36 uppsatser innehållade orden map inference.

1. 1. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

   Författare :Serhat Bulun; [2023]
   Nyckelord :;

   Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER

3. 2. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases

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

   Författare :Alec Guerin; Christos Papadopoulos; [2023]
   Nyckelord :FTJ; Ferroelectric Tunneling Junction; Analog in-memory computing; AIMC; Memristor; A.I.; AIHWKIT; Semantic segmentation; Natural Language Processing; NLP; Neuromorphic Computing; Matrix Vector Multiplication; Technology and Engineering;

   Sammanfattning : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. LÄS MER

4. 3. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Björn Elwin; Anton Fredriksson; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER

5. 4. Multi-Resolution Inference of Bathymetry From Sidescan Sonar

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

   Författare :Zhengjie Ji; [2023]
   Nyckelord :;

   Sammanfattning : How to obtain complete and high-resolution bathymetry is an important research topic in the underwater domain. However, existing methods have certain shortcomings. Multibeam echosounder (MBES) can produce narrow beam range readings of the seafloor, but there is an interval between every two beams (between 10cm to 10m), and the resolution is low. LÄS MER

7. 5. Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN

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

   Författare :MOLA AYENEW; [2022-04-27]
   Nyckelord :pipeline; semi-automated; building facade; parsing; panorama imagery; Google Street view; mapillary; Mask R-CNN; deep learning; inference; rectilinear projection;

   Sammanfattning : This thesis tries to find a methodology that create a working pipeline for building facade parsing, which allows to access large scale panorama imagery from Google Street View (GSV) and implement on deep learning models. We propose a semiautomated pipeline that integrates multiple systems for large-scale building facade parsing. LÄS MER