Essays about: "camera learning thesis"
Showing result 16 - 20 of 144 essays containing the words camera learning thesis.
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16. Lights, Camera, BERT! : Autonomizing the Process of Reading andInterpreting Swedish Film Scripts
University essay from Uppsala universitet/DatalogiAbstract : In this thesis, the autonomization of extracting information from PDFs of Swedish film scriptsthrough various machine learning techniques and named entity recognition (NER) is explored.Furthermore, it is explored if labeled data needed for the NER tasks can be reduced to some degreewith the goal of saving time. 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. Contactless palm print recognition: Novel design and palm openness classification
University essay from Lunds universitet/Matematik LTHAbstract : Biometric technologies, such as facial and fingerprint recognition, have become widely adopted for identity verification in various applications. Palm biometrics, utilizing the unique patterns of the human palm, has gained significant attention for its accuracy and security. READ MORE
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19. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE
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20. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. READ MORE