Essays about: "semantic segmentation"

Showing result 1 - 5 of 58 essays containing the words semantic segmentation.

  1. 1. Operational data extraction using visual perception

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

    Author : Nagarajan Shunmugam; [2021]
    Keywords : Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Abstract : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. READ MORE

  2. 2. Using Deep Learning to SegmentCardiovascular 4D Flow MRI : 3D U-Net for cardiovascular 4D flow MRI segmentation and Bayesian 3D U-Net for uncertainty estimation

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Omkar Bhutra; [2021]
    Keywords : Convolutional Neural Networks; 4D flow MRI; 3D U-Net; Cardiovascularimage segmentation; Uncertainty estimation; Bayesian 3D U-Net;

    Abstract : Deep convolutional neural networks (CNN’s) have achieved state-of-the-art accuraciesfor multi-class segmentation in biomedical image science. In this thesis, A 3D U-Net isused to segment 4D flow Magnetic Resonance Images that include the heart and its largevessels. READ MORE

  3. 3. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Fredrik Skärberg; [2020-11-26]
    Keywords : Deep learning; convolutional neural networks; image analysis; semantic segmentation; focused ion beam scanning electron microscopy; porous materials; controlled drug release;

    Abstract : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. READ MORE

  4. 4. Training Multi-Task Deep Neural Networks with Disjoint Datasets

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

    Author : Nik Vaessen; [2020]
    Keywords : ;

    Abstract : This work examines training neural networks which are capable of learning multiple tasks. We propose an architecture trained on KITTI and Cityscapes, which respectively include only the annotations for 2D object detection and semantic segmentation. READ MORE

  5. 5. Domain Transfer for End-to-end Reinforcement Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi; Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Anton Olsson; Felix Rosberg; [2020]
    Keywords : Reinforcement Learning; Domain Transfer; Deep Deterministic Policy Gradient; Reinforcement Learning in Real-time;

    Abstract : In this master thesis project a LiDAR-based, depth image-based and semantic segmentation image-based reinforcement learning agent is investigated and compared forlearning in simulation and performing in real-time. The project utilize the Deep Deterministic Policy Gradient architecture for learning continuous actions and was designed to control a RC car. READ MORE