Essays about: "ImageNet"
Showing result 11 - 15 of 48 essays containing the word ImageNet.
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11. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. READ MORE
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12. Federated Self-supervised Learning in Computer Vision
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With an ever-increasing amount of available image data, self-supervised learning (SSL) circumvents the necessity for annotations in traditional supervised learning methods. SSL methods such as SimSiam have shown excellent results on popular benchmark datasets, even outperforming supervised methods. READ MORE
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13. Topical Classification of Images in Wikipedia : Development of topical classification models followed by a study of the visual content of Wikipedia
University essay from Linköpings universitet/DatorseendeAbstract : With over 53 million articles and 11 million images, Wikipedia is the greatest encyclopedia in history. The number of users is equally significant, with daily views surpassing 1 billion. Such an enormous system needs automation of tasks to make it possible for the volunteers to maintain. READ MORE
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14. Night-time Vehicle Detection Based on Observable Light Cues Using Deep Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis investigates the issue of computer vision-based detection of oncoming cars during night-time, a critical road safety issue for automated high-beam assist. We propose a holistic image classification approach that uses deep learning methods to detect light artifacts from an oncoming car’s headlights before the car is entirely visible. READ MORE
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15. GPS-Free UAV Geo-Localization Using a Reference 3D Database
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : The goal of this thesis has been global geolocalization using only visual input and a 3D database for reference. In recent years Convolutional Neural Networks (CNNs) have seen huge success in the task of classifying images. The flattened tensors at the final layers of a CNN can be viewed as vectors describing different input image features. READ MORE
