S-MAT: Semantic-Driven Masked Attention Transformer for Multi-Label Aerial Image Classification

Multi-label aerial scene image classification is a long-standing and challenging research problem in the remote sensing field. As land cover objects usually co-exist in an aerial scene image, modeling label dependencies is a compelling approach to improve the performance. Previous methods generally...

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Detalles Bibliográficos
Autores principales: Wu, Hongjun, Xu, Cheng, Liu, Hongzhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317133/
https://www.ncbi.nlm.nih.gov/pubmed/35891109
http://dx.doi.org/10.3390/s22145433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317133/
https://www.ncbi.nlm.nih.gov/pubmed/35891109
http://dx.doi.org/10.3390/s22145433

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