2 papers
cs.CV2024
Development and Testing of a Wood Panels Bark Removal Equipment Based on Deep Learning
Rijun Wang, Guanghao Zhang, Hongyang Chen +5
Attempting to apply deep learning methods to wood panels bark removal equipment to enhance the quality and efficiency of bark removal is a significant and challenging endeavor. Thi…
cs.CV2024
WPS-Dataset: A benchmark for wood plate segmentation in bark removal processing
Rijun Wang, Guanghao Zhang, Fulong Liang +5
Using deep learning methods is a promising approach to improving bark removal efficiency and enhancing the quality of wood products. However, the lack of publicly available dataset…