On the public citation graph

https://doi.org/10.2139/ssrn.4671149

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s001700070055openalex-extracted
Automated Surface Inspection Using Gabor Filters
inferredcites →https://doi.org/10.1109/ccdc.2019.8832688openalex-extracted
Medicine Glass Bottle Defect Detection Based on Machine Vision
inferredcites →https://doi.org/10.1109/cvpr.2019.00953openalex-extracted
Deformable ConvNets V2: More Deformable, Better Results
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01157openalex-extracted
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
inferredcites →https://doi.org/10.1109/ic3.2019.8844942openalex-extracted
An Automated Computer Vision Based System for Bottle Cap Fitting Inspection
inferredcites →https://doi.org/10.1109/icassp49357.2023.10096516openalex-extracted
Efficient Multi-Scale Attention Module with Cross-Spatial Learning
inferredcites →https://doi.org/10.1109/iciea.2012.6360934openalex-extracted
Machine-learning-based surface defect detection and categorisation in high-precision foundry
inferredcites →https://doi.org/10.1109/icpr.2004.1334512openalex-extracted
An intelligent real-time vision system for surface defect detection
inferredcites →https://doi.org/10.1109/isie.2009.5214088openalex-extracted
Real-time rail head surface defect detection: A geometrical approach
inferredcites →https://doi.org/10.3390/app8091678openalex-extracted
Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD
inferredcites →https://doi.org/10.3390/s22249897openalex-extracted
MR-YOLO: An Improved YOLOv5 Network for Detecting Magnetic Ring Surface Defects
inferredcites →https://doi.org/10.48550/arxiv.1811.11168openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2303.03667openalex-extracted
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