Essays about: "semantic maps"

Showing result 1 - 5 of 22 essays containing the words semantic maps.

  1. 1. Network Orientation and Segmentation Refinement Using Machine Learning

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Michael Nilsson; Jonatan Kentson; [2023]
    Keywords : deep learning; semantic segmentation; orientation learning; road networks; retina networks;

    Abstract : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. READ MORE

  3. 2. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene

    University essay from Jönköping University/Jönköping AI Lab (JAIL)

    Author : Dimitrios Zarogiannis; Stelio Bompai; [2023]
    Keywords : Lane Detection; CNN; Vision Transformer; Deep Learning; Semantic Segmentation; Computer Vision;

    Abstract : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. READ MORE

  4. 3. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

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

    Author : Jin Wanqi; [2023]
    Keywords : Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

    Abstract : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. READ MORE

  5. 4. Toward Equine Gait Analysis : Semantic Segmentation and 3D Reconstruction

    University essay from Linköpings universitet/Datorseende

    Author : Evelina Hult; [2023]
    Keywords : Deep Learning; Computer Vision; Semantic Segmentation; Structure-from-Motion; Equine Gait Analysis; Harness Racing Horses; Engineering and Technology; Natural Sciences; Computer Vision Laboratory;

    Abstract : Harness racing horses are exposed to high workload and consequently, they are at risk of joint injuries and lameness. In recent years, the interest in applications to improve animal welfare has increased and there is a demand for objective assessment methods that can enable early and robust diagnosis of injuries. READ MORE

  6. 5. TransRUnet: 2D Detection and Segmentation of Lymphoma Lesions in Full-Body PET-CT Images

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Lasse Stahnke; [2023]
    Keywords : Lymphoma; PET-CT; Deep Learning; CNN; Retina U-Net; Feature Pyramid Transformer; Detection; Segmentation; Lymfom; PET-CT; djupinlärning; CNN; Retina U-Net; Feature Pyramid Transformer; detektion; segmentering;

    Abstract : Identification and localization of FDG-avid lymphoma lesions in PET-CT image volumes is of high importance for the diagnosis and monitoring of treatment progress in lymphoma patients. This process is tedious, time-consuming, and error-prone, due to large image volumes and the heterogeneity of lesions. READ MORE