Essays about: "Semantisk betydelse"
Showing result 1 - 5 of 9 essays containing the words Semantisk betydelse.
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1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE
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2. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. READ MORE
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3. Trade-offs between Quality and Efficiency in Multilingual Dense Retrieval
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As the amount of content online grows, information retrieval becomes increasingly crucial. Traditional information retrieval does not take the text order into account and is also dependent on exact text matching between the query and the document. READ MORE
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4. Deep Multiple Description Coding for Semantic Communication : Theory and Practice
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the era of wirelessly connected Internet of Things (IoT) devices on the horizon, eective data processing algorithms for IoT devices are of increasing importance. IoT devices often have limited power and computational resources, making data processing on the device unfeasible. READ MORE
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5. Road Damage Segmentation for Mobile Hardware
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The detection and early repair of road damage are paramount for the quality and safety of roads. Current detection efforts typically rely on Deep Learning methods for object detection with bounding boxes, with calculations performed on high-performance hardware. READ MORE
