Essays about: "Djup inlärning"

Showing result 1 - 5 of 7 essays containing the words Djup inlärning.

  1. 1. An empirical study on synthetic image generation techniques for object detectors

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

    Author : Claudio Salvatore Arcidiacono; [2018]
    Keywords : Object Detection; Synthetic Dataset; Deep Learning; Rendered Images; Computer Vision; Objektdetektion; Syntetisk datamängd; Djup inlärning; Återgivna bilder; Datorseende;

    Abstract : Convolutional Neural Networks are a very powerful machine learning tool that outperformed other techniques in image recognition tasks. The biggest drawback of this method is the massive amount of training data required, since producing training data for image recognition tasks is very labor intensive. READ MORE

  2. 2. Fashion Object Detection and Pixel-Wise Semantic Segmentation : Crowdsourcing framework for image bounding box detection & Pixel-Wise Segmentation

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

    Author : Mallu Mallu; [2018]
    Keywords : Image-segmentation; Image-localization; object-recognition; image-annotation; bounding-box regression; semantic-segmentation; pixel-wise segmentation; convolutional neural networks.;

    Abstract : Technology has revamped every aspect of our life, one of those various facets is fashion industry. Plenty of deep learning architectures are taking shape to augment fashion experiences for everyone. There are numerous possibilities of enhancing the fashion technology with deep learning. READ MORE

  3. 3. Deep Convolutional Neural Network for Effective Image Analysis : DESIGN AND IMPLEMENTATION OF A DEEP PIXEL-WISE SEGMENTATION ARCHITECTURE

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Marco Ros Marti; [2017]
    Keywords : CNN; Co-CNN; segmentation; localization; RoI; masking; RoI masking; multi-task network; pixel resolution; overfitting; CNN; Co-CNN; segmentering; lokalisering; RoI; maskering; RoI- maskering; flera uppgiftsnätverk; pixelupplösning; övermontering; CNN; segmentació; localització; RoI; emmascarar; filtratge de RoIs; xarxa multi-tasca; resolució de píxel; overfitting;

    Abstract : This master thesis presents the process of designing and implementing a CNN-based architecture for image recognition included in a larger project in the field of fashion recommendation with deep learning. Concretely, the presented network aims to perform localization and segmentation tasks. READ MORE

  4. 4. Deep Active Learning for Short-Text Classification

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Wenquan Zhao; [2017]
    Keywords : Active Learning; Deep Learning; Text Classification;

    Abstract : In this paper, we propose a novel active learning algorithm for short-text (Chinese) classification applied to a deep learning architecture. This topic thus belongs to a cross research area between active learning and deep learning. READ MORE

  5. 5. Segmentation of Cone Beam CT in Stereotactic Radiosurgery

    University essay from KTH/Skolan för teknik och hälsa (STH)

    Author : Awais Ashfaq; [2016]
    Keywords : Cone Beam CT; Convolutional Neural Networks; Image Segmentation; Leksell Gamma Knife Icon; Deep Learning.; Cone Beam CT; neurala nätverk baserade på faltning; bildsegmentering; Leksell Gamma Knife Icon; Djup inlärning.;

    Abstract : C-arm Cone Beam CT (CBCT) systems – due to compact size, flexible geometry and low radiation exposure – inaugurated the era of on-board 3D image guidance in therapeutic and surgical procedures. Leksell Gamma Knife Icon by Elekta introduced an integrated CBCT system to determine patient position prior to surgical session, thus advancing to a paradigm shift in facilitating frameless stereotactic radiosurgeries. READ MORE