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        TITLE = "CANet: Contextual Information and Spatial Attention Based Network for
Detecting Small Defects in Manufacturing Industry",
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Cutting Tool Anomalies in Machining",
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        TITLE = "Intelligent Tool Condition Monitoring Based on Multi-Scale
Convolutional Recurrent Neural Network",
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@article{bb223304,
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aircraft rivet",
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        VOLUME = "14",
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        NUMBER = "1",
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@article{bb223305,
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        TITLE = "Unsupervised industrial anomaly detection with diffusion models",
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@article{bb223306,
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        TITLE = "Deep learning-based methods for detecting defects in cast iron parts
and surfaces",
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@article{bb223307,
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        TITLE = "FSSDD: Few-shot steel defect detection based on multi-scale semantic
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        NUMBER = "1",
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@article{bb223308,
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Segmentation and Improved RESNET-50",
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@inproceedings{bb223364,
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@inproceedings{bb223365,
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using Sherlock™ and VB 6.0 Algorithm",
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@inproceedings{bb223366,
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@inproceedings{bb223367,
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Concrete by Means of Photogrammetry",
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Automotive Panels",
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Machine",
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@inproceedings{bb223399,
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