U2bil:a two-phase class separation method for unbalanced tunnel defects via class incremental learning

As the demand for tunnel inspection grows, visual methods are being utilized, but traditional machine learning techniques struggle with continuous learning and updating prototype classes without repeated defect data acquisition. Incremental learning provides a way to address catastrophic forgetting,...

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Veröffentlicht in:	Signal, image and video processing image and video processing, 2025, Vol.19 (1)
Hauptverfasser:	Cai, Yiwei, Gao, Xinwen, Yang, Yumeng, Feng, Xinyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Imaging Computer Science Data acquisition Defects Image Processing and Computer Vision Machine learning Multimedia Information Systems Original Paper Pattern Recognition and Graphics Prototypes Separation Signal,Image and Speech Processing Vision
Online-Zugang:	Volltext
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