Summer Research Experience Poster Session 2022
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12588/1071
Held in-person on the UTSA campus on Thursday, July 28th from 2-3:30pm.
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Browsing Summer Research Experience Poster Session 2022 by Author "Fernandez, Amanda"
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Item Semantic Segmentation for Materials Classification of Nuclear Fuels(2022-07-28) Mohanadhas, Daniel; Snyder, Chris; Fernandez, AmandaSemantic segmentation, the task of classifying objects in an image at a pixel level, has been done since 2012. While our method is not new, our application is. Unlike most tasks which are on clearly-defined objects, the dataset we attempt to label is like Perlin Noise: seemingly random but with clear patterns throughout. Additionally, we had a very small dataset to work with, but preliminary results show that approaches used on more standard applications also work well in this novel application.Item Strategic Freezing(2022-07-28) Seligman, Zachary; Patrick, David; Fernandez, AmandaConvolutional neural networks (CNNs) are notoriously data-intensive, requiring significantly large datasets for training accurately in an appropriate runtime. Recent approaches aiming to reduce this requirement focus on removal of low-quality samples in the data or unimportant filters, leaving a vast majority of the training set and model in tact. We propose Strategic Freezing, a new training strategy which strategically freezes features in order to maintain class retention. Preliminary results of our approach are demonstrated on the Imagenette dataset using ResNet34.