Essays about: "ResNet-18"

Showing result 1 - 5 of 12 essays containing the word ResNet-18.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lars Bergström; Dag Hjelm; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

  3. 2. MISK-Moves

    University essay from Lunds universitet/Certec - Rehabiliteringsteknik och Design

    Author : Bo Elovson Grey; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  4. 3. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

  5. 4. 3D Gaze Estimation on RGB Images using Vision Transformers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jing Li; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 5. 3D Gaze Estimation on Near Infrared Images Using Vision Transformers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Emil Emir Vardar; [2023]
    Keywords : Gaze estimation; Eye tracking; Vision Transformers ViTs ; Hybrid ViTs; Deep learning; Near-infrared NIR images; Ögonblicksuppskattning; Blickspårning; Vision Transformers ViTs ; Hybrida ViTs; Djupinlärning; Nära-infraröda NIR bilder;

    Abstract : Gaze estimation is the process of determining where a person is looking, which has recently become a popular research area due to its broad range of applications. For example, tools that estimate gaze are used for research, medical diagnosis, virtual and augmented reality, driver assistance system, and many more. READ MORE