Image-to-Image Translation for Improvement of Synthetic Thermal Infrared Training Data Using Generative Adversarial Networks
Training data is an essential ingredient within supervised learning, yet time con-suming, expensive and for some applications impossible to retrieve. Thus it isof interest to use synthetic training data. However, the domain shift of syntheticdata makes it challenging to obtain good results when used...
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Format: | Others |
Language: | English |
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Linköpings universitet, Datorseende
2021
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174928 |