금속 Element DC Fuse 결함 검출을 위한 Dinomaly 기반 이미지 이상
세훈 이, Se-Hun Lee, Hee-Jae Kwon et al.
· 0 citations
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Open access
Aug 2026
Dinomaly-based Image Anomaly Detection for Defect Detection of Metallic Element DC Fuses
Dinomaly is employed, an unsupervised reconstructionbased Transformer model that can be trained using only normal images, to identify irregular defects in metallic DC fuses and is expected to contribute to the automation of DC fuse quality inspection processes, enhance the reliability of automotive electronic component...
Se-Hun Lee, Hee-Jae Kwon, Se-Yeon Jung et al.
· Journal of the Korean Societ... · 0 citations