Simon THOMINE

Simon THOMINE is affiliated with the University of Technology of Compiègne (UTT), listed in their Research Directory under the academic discipline of Doctorat. His research focuses on anomaly detection in industrial and textile applications using advanced machine learning techniques such as transfer learning, knowledge distillation, and convolutional neural networks. He has contributed to projects like FABLE (Fabric Anomaly Detection Automation Process) and developed frameworks for expedited training times in transfer learning contexts. His work emphasizes practical applications in manufacturing quality control and texture analysis. Current contact information includes the email simon.thomine@utt.fr, with profile details last updated in July 2021.