Pretraining a Neural Network for Hyperspectral Images Using Self-Supervised Contrastive Learning
Hyperspectral imaging is an expanding topic within the field of computer vision, that uses images of high spectral granularity. Contrastive learning is a discrim- inative approach to self-supervised learning, a form of unsupervised learning where the network is trained using self-created pseudo-labe...
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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-179122 |