Essays about: "data augmentations"
Showing result 21 - 25 of 37 essays containing the words data augmentations.
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21. Pretraining a Neural Network for Hyperspectral Images Using Self-Supervised Contrastive Learning
University essay from Linköpings universitet/DatorseendeAbstract : Hyperspectral imaging is an expanding topic within the field of computer vision, that uses images of high spectral granularity. Contrastive learning is a discrim- inative approach to self-supervised learning, a form of unsupervised learning where the network is trained using self-created pseudo-labels. READ MORE
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22. Point Cloud Data Augmentation for Safe 3D Object Detection using Geometric Techniques
University essay fromAbstract : Background: Autonomous navigation has become increasingly popular. This surge in popularity caused a lot of interest in sensor technologies, driving the cost of sensor technology down. This has resulted in increasing developments in deep learning for computer vision. READ MORE
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23. Data augmentation and related opportunity cost for managing the contemporary data sparsity
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This paper explored data augmentation as an alternative solution to the supervised data sparsity that has become a deeply rooted issue in machine learning projects. Convolutional Neural Network models with architecture resembling the ResNet Neural Network were trained on an augmented version of the CIFAR-10 dataset. READ MORE
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24. Building Detection in Deformed Satellite Images Using Mask R-CNN
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: In the recent research of automatic building detection, aerial and satellite images are used. Automatic building detection from satellite images is useful for urban planning, after natural disasters for identifying the voids. READ MORE
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25. Semi-Supervised Deep Learning using Consistency-Based Methods for Segmentation of Medical Images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In radiation therapy, a form of cancer treatment, accurately locating the anatomical structures is required in order to limit the impact on healthy cells. The automatic task of delineating these structures and organs is called segmentation, where each pixel in an image is classified and assigned a label. READ MORE
