Sökning: "Instance Segmentation"

Visar resultat 1 - 5 av 45 uppsatser innehållade orden Instance Segmentation.

  1. 1. Instance segmentation using 2.5D data

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Jonathan Öhrling; [2023]
    Nyckelord :instance segmentation; multi-modality; segmentation; multi-modality fusion; CNN; RGBD; ToF; Mask R-CNN; RTMDet; MMDetection; COCO; NYUDepth;

    Sammanfattning : Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation. LÄS MER

  3. 2. Point clouds in the application of Bin Picking

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Abhijeet Anand; [2023]
    Nyckelord :Point clouds; Computer vision; 3D instance segmentation; Point cloud registration; Deep learning; Clustering;

    Sammanfattning : Automatic bin picking is a well-known problem in industrial automation and computer vision, where a robot picks an object from a bin and places it somewhere else. There is continuous ongoing research for many years to improve the contemporary solution. LÄS MER

  4. 3. Integration of Continual Learning and Semantic Segmentation in a vision system for mobile robotics

    Master-uppsats, Luleå tekniska universitet/Rymdteknik

    Författare :Cristian David Echeverry Valencia; [2023]
    Nyckelord :Continual Learning; Progressive Neural Networks; mobile robotics; Computer Vision; Machine Learning; Semantic Segmentation;

    Sammanfattning : Over the last decade, the integration of robots into various applications has seen significant advancements fueled by Machine Learning (ML) algorithms, particularly in autonomous and independent operations. While robots have become increasingly proficient in various tasks, object instance recognition, a fundamental component of real-world robotic interactions, has witnessed remarkable improvements in accuracy and robustness. LÄS MER

  5. 4. En analys av strukturellafaktorer inom planlösningar : En metod baserad på djupinlärning, för att extrahera information och bedöma samband med lägenhetspriser.

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Michiel David Noback; Sara Morén; [2023]
    Nyckelord :;

    Sammanfattning : The housing market is influenced by various factors that impact the pricing of properties. One such factor is the internal layout and structure of the estate, which is typically represented by a floor plan. Real estate agents commonly use floor plans to provide buyers with a comprehensive overview of the property. LÄS MER

  7. 5. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards

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

    Författare :Oliver Möller; [2023]
    Nyckelord :Deep Learning; Computer Vision; Image Processing; Object Detection; Instance Segmentation; Printed Circuit Board PCB ; Djupinlärning; Datorseende; Bildbehandling; Objektdetektering; Instanssegmentering; Tryckt kretskort;

    Sammanfattning : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. LÄS MER