Ruyu Wang has just finished her PhD with the Bosch Center for Artificial Intelligence, where she is now starting a full-time position. Her paper exploring the use of generative models to create synthetic defective data was presented at WACV last month. Fresh from the event, Ruyu is here to tell us more about her work. Computer Vision News 2 WACV Poster Presentation Improving the Effectiveness of Deep Generative Data Deep generative models continue to blur the boundaries between real and artificially generated content. Through her work at Bosch, Ruyu has identified a unique industrial application for these models to improve the overall efficiency of defect detection on production lines. However, a problem lies in the lack of diverse defect images for training, meaning these models could easily be prone to errors. Real-world production lines,
RkJQdWJsaXNoZXIy NTc3NzU=