Essays about: "feature extractor"

Showing result 6 - 10 of 27 essays containing the words feature extractor.

  1. 6. A comparison between fully-supervised and self-supervised deep learning methods for tumour classification in digital pathology data

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Elsa Jonsson; [2022]
    Keywords : AI; machine learning; digital pathology data; binary tumour classification;

    Abstract : Whole Slide Images (WSIs) are digital scans containing rich pathology information. There are many available WSI datasets that can be used for a wide range of purposes such as diagnostic tasks and analysis, but the availability of labeled WSI datasets is very limited since the annotation process is both very costly and time consuming. READ MORE

  3. 7. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems

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

    Author : Federico Bennasciutti; [2022]
    Keywords : DeepLearning; Visual Odometry; Computer Vision; RGB-D Camera; Feature Extraction; Interest Point Extraction; Djupinlärning; Visuell Odometri; Datorseende; RGB-D-kamera; Nyckelpunkter; Detektion;

    Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE

  4. 8. Pedestrian Tracking by using Deep Neural Networks

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

    Author : Zeng Peng; [2021]
    Keywords : Deep Learning; Computer Vision; Multiple Object Tracking; Person Re- Identification; Object Detection;

    Abstract : This project aims at using deep learning to solve the pedestrian tracking problem for Autonomous driving usage. The research area is in the domain of computer vision and deep learning. Multi-Object Tracking (MOT) aims at tracking multiple targets simultaneously in a video data. READ MORE

  5. 9. OBJECT DETECTION USING DEEP LEARNING ON METAL CHIPS IN MANUFACTURING

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Robin Andersson Dickfors; Nick Grannas; [2021]
    Keywords : Object detection; deep learning; machine learning; computer vision; classification; manufacturing; small object detection;

    Abstract : Designing cutting tools for the turning industry, providing optimal cutting parameters is of importance for both the client, and for the company's own research. By examining the metal chips that form in the turning process, operators can recommend optimal cutting parameters. READ MORE

  6. 10. Scar detection using deep neural networks

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

    Author : Christina Sunnegårdh; [2021]
    Keywords : ;

    Abstract : Object detection is a computer vision method that deals with the tasks of localizing and classifying objects within an image. The number of usages for the method is constantly growing, and this thesis investigates the unexplored area of using deep neural networks for scar detection. READ MORE