Wood Veneer Defect Detection Based on Multiscale DETR with Position Encoder Net

Wood is one of the main building materials. However, defects on veneers result in substantial waste of wood resources. Traditional veneer defect detection relies on manual experience or photoelectric-based methods, which are either subjective and inefficient or need substantial investment. Computer...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Yilin Ge, Dapeng Jiang, Liping Sun
Format:	Article
Language:	English
Published:	MDPI AG 2023-05-01
Subjects:	wood veneer defect detection convolutional neural networks transformer
Online Access:	https://www.mdpi.com/1424-8220/23/10/4837