Essays about: "Instance Segmentation"

Showing result 1 - 5 of 42 essays containing the words Instance Segmentation.

  1. 1. Instance segmentation using 2.5D data

    University essay from Linköpings universitet/Institutionen för systemteknik

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

    Abstract : 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. READ MORE

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

    University essay from Linköpings universitet/Statistik och maskininlärning

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

    Abstract : 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. READ MORE

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

    University essay from Luleå tekniska universitet/Rymdteknik

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

    Abstract : 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. 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. Exploration of performance evaluation metrics with deep-learning-based generic object detection for robot guidance systems

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Helena Gustafsson; [2023]
    Keywords : performance evaluation; robot guidance system; deep learning; object detection; instance segmentation;

    Abstract : Robots are often used within the industry for automated tasks that are too dangerous, complex, or strenuous for humans, which leads to time and cost benefits. Robots can have an arm and a gripper to manipulate the world and sensors for eyes to be able to perceive the world. READ MORE