Essays about: "Model compression"
Showing result 1 - 5 of 190 essays containing the words Model compression.
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1. Test Equipment for the LUCAS Chest Compression System: Incorporating Biomechanical Insights for Future Design Enhancements
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : The LUCAS Chest Compression System is a market leading mechanical cardiopulmonary resuscitation device, assisting medical professionals worldwide when treating patients with sudden cardiac arrest. The objective of this master thesis project was to develop a new, adjustable test equipment for the LUCAS device, allowing for tests on varying chest heights and stiffness levels. READ MORE
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2. 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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3. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. READ MORE
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4. Interactive Visualization of Network Models in JavaScript/TypeScript for Web-based Applications
University essay from Umeå universitet/Institutionen för fysikAbstract : Networks of nodes and links are powerful tools to model complex systems, however, when the number of nodes and links grows to the thousands then even the network becomes too complex to comprehend unless we can simplify and highlight the networks underlying structure. The map equation is a method developed by the researchers at IntegratedScience Lab that uses an information theoretic approach to reveal community structure using the flow of information on the network modeled with random walks. READ MORE
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5. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. READ MORE
