Image Synthesis Using CycleGAN to Augment Imbalanced Data for Multi-class Weather Classification
In the last decade, convolutional neural networks have been used to a large extent for image classification and recognition tasks in a number of fields. For image weather classification, data can be both sparse and unevenly distributed amongst labels in the training set. As a way to improve the perf...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Medie- och Informationsteknik
2021
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176991 |