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Detection of Mechanical Damages in Sawn Timber Using ...
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由 N Rudakov 著作2019被引用 15 次 — In this paper, an efficient convolutional neural network based framework that can be trained with a limited amount of annotated training data is ...
Detection of mechanical damages in sawn timber ... - LUTPub
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由 N Rudakov 著作2018被引用 15 次 — This study aimed to develop a robust and efficient method for recognition and localization of various mechanical damages on the images of sawn timber.
Detection of Mechanical Damages in Sawn Timber Using ...
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2019年2月18日 — In this paper, an efficient convolutional neural network based framework that can be trained with a limited amount of annotated training data is ...
[PDF] Detection of Mechanical Damages in Sawn Timber Using ...
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An efficient convolutional neural network based framework that can be trained with a limited amount of annotated training data is proposed and it achieved ...
Detection of Mechanical Damages in Sawn Timber Using ...
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In this paper, an efficient convolutional neural network based framework that can be trained with a limited amount of annotated training data is proposed. The ...
Rudakov, N., Eerola, T., Lensu, L., Kälviäinen, H. and ...
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(2019) Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks. In: Brox, T., Bruhn, A. and Fritz, M., Eds., Pattern Recognition.
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In this paper, an efficient convolutional neural network based framework that can be trained with a limited amount of annotated training data is proposed. The ...
The number of images in the datasets.
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Performance comparison of different CNN architectures in case of the... Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks ...
Bilateral Defect Cutting Strategy for Sawn Timber Based on ...
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由 C Fan 著作2024被引用 1 次 — This synergy empowers the rapid and precise identification of wood defects. Convolutional neural networks have long been at the forefront of deep learning and ...
Detection method of timber defects based on target ...
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由 D Li 著作2022被引用 25 次 — Convolutional neural networks are widely used in the field of wood defect detection due to their remarkable feature extraction and image ...