A DINOv2-based self-supervised learning framework for automated detection of surface defects in injection molding

The International Journal of Advanced Manufacturing Technology 2026

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Authors: Andrea Pieressa, Chung‐Yin Lin, Giovanni Lucchetta, Lih‐Sheng Turng
DOI: 10.1007/s00170-026-17386-1
Cited by: 1
References: 43

Fields of Study & Subjects

Injection Molding Process and Properties Manufacturing Process and Optimization Industrial Vision Systems and Defect Detection

Publication details

Journal / source
The International Journal of Advanced Manufacturing Technology
Publisher
Springer Science and Business Media LLC
Volume
143
Issue
1-2
Pages
375–389
Publication date
4 February 2026
Language
EN