Sökning: "ResNet-18"

Visar resultat 1 - 5 av 13 uppsatser innehållade ordet ResNet-18.

1. 1. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier

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

   Författare :Lars Bergström; Dag Hjelm; [2023]
   Nyckelord :;

   Sammanfattning : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. LÄS MER

3. 2. MISK-Moves

   Kandidat-uppsats, Lunds universitet/Certec - Rehabiliteringsteknik och Design

   Författare :Bo Elovson Grey; [2023]
   Nyckelord :MISK; machine learning; ResNet-18; NVIDIA Jetson Nano; system-on-module; Certec; Furuboda KompetensCenter; Eldorado resurcenter; pose estimation; object detection; object tracking; Raspberry Pi V2 camera; Max 8; Technology and Engineering;

   Sammanfattning : Move-to-play is a musical instrument for persons with both cognitive and physical impairments, who would have trouble playing traditional instruments. Everyone, no matter their abilities, are given the chance to play and control music by moving their own body. 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. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks

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

   Författare :Yuhang Li; [2023]
   Nyckelord :DNN; Soft errors; Redundancy; DRL; DQN; Transfer learning; Training time; DNN; Mjuka fel; Redundans; DRL; DQN; Överföringsinlärning; Utbildningstid;

   Sammanfattning : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. LÄS MER

7. 5. 3D Gaze Estimation on RGB Images using Vision Transformers

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

   Författare :Jing Li; [2023]
   Nyckelord :3D Gaze Estimation; Vision Transformers ViTs ; Convolutional Neural Networks CNNs ; Multi-Head Attention; Red-Green-Blue RGB Images; 3D Blickriktningsestimering; Vision Transformers ViTs ; Konvolutionsneurala Nätverk CNNs ; Multi-Head Attention; Röd-Grön-Blå RGB Bilder;

   Sammanfattning : Gaze estimation, a vital component in numerous applications such as humancomputer interaction, virtual reality, and driver monitoring systems, is the process of predicting the direction of an individual’s gaze. The predominant methods for gaze estimation can be broadly classified into intrusive and nonintrusive approaches. LÄS MER