Semi-supervised Learning with GAN for Semantic Segmentation of Wood Defect Image
Year: 2024
Type: conference-paper
Source: China Automation Congress (CAC)
Institutions: Education Department of Fujian Province, Fuzhou University
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4407453561
