A DenseNet‐based feature weighting convolutional network recognition model and its application in industrial part classification
Abstract Traditional warehousing typically needs machine learning or manual tagging to classify objects. However, this method is less robust and consumes a lot of labour and material resources. Based on DenseNet, this work proposes a feature weighting convolutional network recognition model and desi...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2024-02-01
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| Serier: | IET Image Processing |
| Fag: | |
| Online adgang: | https://doi.org/10.1049/ipr2.12971 |
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