Essays about: "image domain"
Showing result 16 - 20 of 189 essays containing the words image domain.
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16. Quality Assuring an Image Data Pipeline with Transfer Learning : Using Computer Vision Methodologies
University essay from Uppsala universitet/Avdelningen Vi3Abstract : The computer vision field has taken big steps forwards and the amount of models and datasets that are being released is increasing. A large number of contemporary models are the result of extensive training sessions on massive datasets, reflecting a significant investment of time and computational resources. READ MORE
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17. Improving Image Classification using Domain Adaptation for Autonomous Driving : A Master Thesis in Collaboration with Scania
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous driving is a rapidly changing industry and has recently become a heavily focused research topic for vehicle producing companies and research organizations. These autonomous vehicles are typically equipped with sensors such as Light Detection and Radar (LiDAR) in order to perceive their surroundings. READ MORE
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18. Performance Evaluation of Digital Image Processing on the Web using WebAssembly
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : JavaScript has been the de-facto standard programming language for Web browsers for some time. Although it has enabled the interactive and complex web pages we have today, it has long been characterized by performance issues. A promising new technology, WebAssembly, aims to enable near-native performance on the Web. READ MORE
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19. Uncertainty Estimation in Volumetric Image Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. READ MORE
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20. Neuromorphic Medical Image Analysis at the Edge : On-Edge training with the Akida Brainchip
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computed Tomography (CT) scans play a crucial role in medical imaging, allowing neuroscientists to identify intracranial pathologies such as haemorrhages and malignant tumours in the brain. This thesis explores the potential of deep learning models as an aid in intracranial pathology detection through medical imaging. READ MORE