Essays about: "semantic segmentation"
Showing result 21 - 25 of 152 essays containing the words semantic segmentation.
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21. SENSOR FUSION FOR AUTONOMOUS NAVIGATION
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : This report describes the progress made in designing and constructing an unmanned surface vehicle. The focus is on the development of the vessel's perception system, which includes three LiDAR sensors and a camera. READ MORE
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22. Semi-Supervised Domain Adaptation for Semantic Segmentation with Consistency Regularization : A learning framework under scarce dense labels
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Learning from unlabeled data is a topic of critical significance in machine learning, as the large datasets required to train ever-growing models are costly and impractical to annotate. Semi-Supervised Learning (SSL) methods aim to learn from a few labels and a large unlabeled dataset. READ MORE
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23. Camera ISP optimization for computer vision tasks performed by deep neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis aims to improve the performance of Deep Neural Networkss (DNNs) in Computer Vision tasks by optimizing the Image Signal Processor (ISP) parameters. The research investigates the use of simulated RAW images and the application of the DRL-ISP (Deep Reinforcement Learning for Image Signal Processor) method to enhance the accuracy and robustness of DNNs. READ MORE
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24. Toward Equine Gait Analysis : Semantic Segmentation and 3D Reconstruction
University essay from Linköpings universitet/DatorseendeAbstract : Harness racing horses are exposed to high workload and consequently, they are at risk of joint injuries and lameness. In recent years, the interest in applications to improve animal welfare has increased and there is a demand for objective assessment methods that can enable early and robust diagnosis of injuries. READ MORE
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25. TransRUnet: 2D Detection and Segmentation of Lymphoma Lesions in Full-Body PET-CT Images
University essay from KTH/Medicinteknik och hälsosystemAbstract : Identification and localization of FDG-avid lymphoma lesions in PET-CT image volumes is of high importance for the diagnosis and monitoring of treatment progress in lymphoma patients. This process is tedious, time-consuming, and error-prone, due to large image volumes and the heterogeneity of lesions. READ MORE