Essays about: "Segment Anything Model."

Showing result 1 - 5 of 8 essays containing the words Segment Anything Model..

  1. 1. Automatic Semantic Segmentation of Indoor Datasets

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Sai Swaroop Rachakonda; [2024]
    Keywords : Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Abstract : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. READ MORE

  3. 2. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    University essay from

    Author : Venkata Vamsi Challa; [2024]
    Keywords : Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Abstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE

  4. 3. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Author : Punnawat Siripatthiti; [2023]
    Keywords : Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

    Abstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE

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

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

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

    Abstract : 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. READ MORE

  6. 5. Finite element modelling of strained nanowire heterostructures

    University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Author : Alexander Grape Wyke; [2019]
    Keywords : Strain; nanowire; heterostructure; physics; nanophysics; COMSOL; simulation; lattice; Physics and Astronomy;

    Abstract : When two materials with different lattice constants are grown together, this generates stress between them, and therefore strain. This strain causes them to have different thermal and electrical properties, and this is especially important on the nanoscale where changes have large impacts. READ MORE