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ESAMask: Real-Time Instance Segmentation Fused with Efficient Sparse Attention
Instance segmentation is a challenging task in computer vision, as it requires distinguishing objects and predicting dense areas. Currently, segmentation models based on complex designs and large parameters have achieved remarkable accuracy. However, from a practical standpoint, achieving a balance...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385500/ https://www.ncbi.nlm.nih.gov/pubmed/37514740 http://dx.doi.org/10.3390/s23146446 |