Fadel Mounir Megahed on Muck Rack

Fadel Mounir Megahed

As seen in: Taylor & Francis Online
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Articles

Adapting OpenAI’s CLIP model for few-shot image inspection in manufacturing quality control: An expository case study with multiple application examples

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By Ying-Ju Chen, Fadel Mounir Megahed, Bianca Maria Colosimo
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract This expository article introduces a simplified approach to image-based quality inspection in manufacturing using OpenAI’s CLIP (Contrastive Language-Image Pretraining) model adapted for few-shot learning.
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