Essays about: "Object choice task"
Showing result 1 - 5 of 11 essays containing the words Object choice task.
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1. Using Synthetic Data For Object Detection on the edge in Hazardous Environments
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). READ MORE
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2. Self-Supervised Learning: Land Classification of Satellite Imagery
University essay from Lunds universitet/Matematisk statistikAbstract : The rise of self-supervised learning has granted a deeper level of generalized machine learning capable of learning semantic representations without any use of labelling. With 700 satellites orbiting Earth and generating terabytes of unlabelled data daily, satellite imagery serves as a particularly enticing data set for self-supervised learning, containing rich information with many applicable domains,such as agriculture. READ MORE
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3. A Performance Comparison of Dynamic- and Inline Ray Tracing in DXR : An application in soft shadows
University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaperAbstract : Background. Ray tracing is a tool that can be used to increase the quality of the graphics in games. One application in graphics that ray tracing excels in is generating shadows because ray tracing can simulate how shadows are generated in real life more accurately than rasterization techniques can. READ MORE
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4. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. READ MORE
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5. Evaluation of Real-Time Single-Object Tracking Algorithms in a Non-Stationary Robotic Agent
University essay from Lunds universitet/KognitionsvetenskapAbstract : Visual object tracking is a fairly easy task for humans but a challenging problem in computer vision and thereby in humanoid implementation. Most of the existing object tracking evaluations are performed with prerecorded video footage, often with a stationary camera. This is not representative of a humanoid platform. READ MORE
