Cutout as augmentation in contrastive learning for detecting burn marks in plastic granules
<p>Plastic granules are a common delivery form for creating products in industries such as the plastic manufacturing, construction and automotive ones. In the corresponding sorting process of plastic granules, diverse defect types could appear. Burn marks, which potentially lead to weakened st...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-04-01
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| Series: | Journal of Sensors and Sensor Systems |
| Online Access: | https://jsss.copernicus.org/articles/13/63/2024/jsss-13-63-2024.pdf |