Activation extending based on long-range dependencies for weakly supervised semantic segmentation

Weakly supervised semantic segmentation (WSSS) principally obtains pseudo-labels based on the class activation maps (CAM) to handle expensive annotation resources. However, CAM easily involves false and local activation due to the the lack of annotation information. This paper suggests weakly superv...

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Detalles Bibliográficos
Autores principales: Liu, Haipeng, Zhao, Yibo, Wang, Meng, Ma, Meiyan, Chen, Zhaoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662704/
https://www.ncbi.nlm.nih.gov/pubmed/37988337
http://dx.doi.org/10.1371/journal.pone.0288596

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662704/
https://www.ncbi.nlm.nih.gov/pubmed/37988337
http://dx.doi.org/10.1371/journal.pone.0288596

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