Browsing Fakülteler / Faculties by Subject "faster r-cnn"

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Automatic Detection and Classification of Defective Areas on Metal Parts by Using Adaptive Fusion of Faster R-CNN and Shape From Shading

Selamet, Feyza; Cakar, Serap; Kotan, Muhammed (2022-11-21)

Computer vision and deep learning approaches have an important role in industrial inspection systems. Computer vision technology is essential for fast, defect-free control of products in the production line. The importance ...