Dual-Kernel-Based Aggregated Residual Network for Surface Defect Inspection in Injection Molding Processes

Automated quality inspection has been receiving increasing attention in manufacturing processes. Since the introduction of convolutional neural networks (CNNs), many researchers have attempted to apply CNNs to classification and detection of defect images. However, injection molding processes have n...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Hwaseop Lee, Kwangyeol Ryu
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2020-11-01
Sarja:	Applied Sciences
Aiheet:	aggregated residual learning network deformable convolutional network defect classification injection molding process surface inspection
Linkit:	https://www.mdpi.com/2076-3417/10/22/8171
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