Sökning: "Squeezenet"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet Squeezenet.

1. 1. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Egemen Yiğit Kömürcü; [2023]
   Nyckelord :;

   Sammanfattning : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. LÄS MER

3. 2. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

   Författare :Javier Ferre Martin; [2023]
   Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

   Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER

4. 3. Bildigenkänning för ett halvautonomt program som spelar kortspelet UNO

   Kandidat-uppsats,

   Författare :John Forslund; Johan Hellqvist; Samuli Pitkälä; Hugo Toll; [2023]
   Nyckelord :maskininlärning; bildklassificering; objektklassificering; CNN;

   Sammanfattning : I detta projekt utvecklas ett halvautonomt program för att spela kortspelet UNO med fysiska kort. Objektdetektering med Cannymetoden och kontursökning används för att hitta korten på spelplanen. Dessa kort klassificeras med avseende på valör av ett egendesignat neuronnät. LÄS MER

5. 4. Face recognition on historical photographs

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Anil Poudel; [2021]
   Nyckelord :;

   Sammanfattning : The Stockholm city museum contains a large collection of old photographs. Manually classifying and comparing the photos for each person is inefficient and consumes more time. The idea is to recognize if photographs belong to the same person and compare photos from the photos collection. LÄS MER

7. 5. Real-time face recognition using one-shot learning : A deep learning and machine learning project

   Master-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Författare :Alex Darborg; [2020]
   Nyckelord :Face recognition; one-shot learning; machine learning; deep learning; face expression; Inception-Resnet-v1; Squeezenet; web service;

   Sammanfattning : Face recognition is often described as the process of identifying and verifying people in a photograph by their face. Researchers have recently given this field increased attention, continuously improving the underlying models. The objective of this study is to implement a real-time face recognition system using one-shot learning. LÄS MER