Essays about: "CIFAR-10"
Showing result 1 - 5 of 26 essays containing the word CIFAR-10.
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1. 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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2. Performance analysis: CNN model on smartphones versus on cloud : With focus on accuracy and execution time
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : In the modern digital landscape, mobile devices serve as crucial data generators.Their usage spans from simple communication to various applications such as userbehavior analysis and intelligent applications. However, privacy concerns associatedwith data collection are persistent. READ MORE
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3. Image Colorization Based on Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. READ MORE
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4. Prediction of the gain in classification performance from combining multiple imaging modalities
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this work, we investigate the relationship between different image modalities and classification performance, aiming to predict the potential gain in classification accuracy when combining multiple modalities. We analyze mathematical and statistical measures and develop novel reconstruction measures (RMSE and RSSIM) to assess information distribution between different image modalities. READ MORE
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5. Federated Self-supervised Learning in Computer Vision
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With an ever-increasing amount of available image data, self-supervised learning (SSL) circumvents the necessity for annotations in traditional supervised learning methods. SSL methods such as SimSiam have shown excellent results on popular benchmark datasets, even outperforming supervised methods. READ MORE
