Visual inspection of surface defects of extreme size based on an advanced FCOS
Surface defects of industrial products are generally detected through anchor-based object detection methods during manufacturing. However, these methods are prone to missed and false detection for ultra-elongated and ultra-fine defects. An advanced fully convolutional one-stage object detector (FCOS...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2022.2122222 |