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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |