Essays about: "Cityscapes"
Showing result 1 - 5 of 25 essays containing the word Cityscapes.
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1. 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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2. 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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3. Verisium Drone - PinDown ML-Debug Visualisation Tool
University essay from Lunds universitet/Certec - Rehabiliteringsteknik och DesignAbstract : In collaboration with Cadence this thesis work has created a web based interface which aims to visualise large sets of data in a more human readable way. Cadence is a company specialising in electronic system design and is offering other companies solutions for silicon design creation, simulation, implementation and signoff of analog and digital circuits and a lot more. READ MORE
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4. Mixed Precision Quantization for Computer Vision Tasks in Autonomous Driving
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Quantization of Neural Networks is popular technique for adopting computation intensive Deep Learning applications to edge devices. In this work, low bit mixed precision quantization of FPN-Resnet18 model trained for the task of semantic segmentation is explored using Cityscapes and Arriver datasets. READ MORE
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5. Knowledge Distillation for Semantic Segmentation and Autonomous Driving. : Astudy on the influence of hyperparameters, initialization of a student network and the distillation method on the semantic segmentation of urban scenes.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reducing the size of a neural network whilst maintaining a comparable performance is an important problem to be solved since the constrictions on resources of small devices make it impossible to deploy large models in numerous real-life scenarios. A prominent example is autonomous driving, where computer vision tasks such as object detection and semantic segmentation need to be performed in real time by mobile devices. READ MORE