Learning with fewer labels in deep learning for plant phenotyping
Deep learning has become an important approach in the research of plant phenotyping. However, training a highly-performing deep learning model generally requires a large amount of labeled data. These training data are normally labeled by human annotators and the labeling process is expensive and tim...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2022
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| Online Access: | https://eprints.nottingham.ac.uk/71783/ |