Essays about: "Semantic Network"

Showing result 1 - 5 of 139 essays containing the words Semantic Network.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  3. 2. Enhancement of a Power Line Information System by Combining BIM and LiDAR Data

    University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Author : Daniel Wollberg; [2024]
    Keywords : GIS; BIM; FME; CloudCompare; GIS; BIM; FME; CloudCompare;

    Abstract : With the great ongoing energy transition in Sweden, Svenska Kraftnät (SVK) sees a huge need for investment in the Swedish transmission network and supporting IT- systems.  SVK has a great amount of collected laser data over the electric power transmission network however this data does not contain any semantic attribution that can be analyzed on broader information systems. READ MORE

  4. 3. 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

  5. 4. A Multi-camera based Next Best View Approach for Semantic Scene Understanding

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Anton Persson; [2023]
    Keywords : Next Best View; NBV; Semantic Scene Understanding; Robotics;

    Abstract : Robots are becoming more common; robotics has gone from bleeding-edge technology to an everyday topic that families discuss around thedinner table.The number of robots in the industry is growing, which means thatthe demand and need for robots to understand the environment it isworking in is also growing. READ MORE

  6. 5. 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