Semisupervised Semantic Segmentation with Mutual Correction Learning

The semisupervised semantic segmentation method uses unlabeled data to effectively reduce the required labeled data, and the pseudo supervision performance is greatly influenced by pseudo labels. Therefore, we propose a semisupervised semantic segmentation method based on mutual correction learning,...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Yifan, Dong, Jing, Zhou, Dongsheng, Yi, Pengfei, Liu, Rui, Wei, Xiaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550422/
https://www.ncbi.nlm.nih.gov/pubmed/36225546
http://dx.doi.org/10.1155/2022/8653692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550422/
https://www.ncbi.nlm.nih.gov/pubmed/36225546
http://dx.doi.org/10.1155/2022/8653692

Ejemplares similares