Cargando…
Multi-Stage Attentive Network for Motion Deblurring via Binary Cross-Entropy Loss
In this paper, we present the multi-stage attentive network (MSAN), an efficient and good generalization performance convolutional neural network (CNN) architecture for motion deblurring. We build a multi-stage encoder–decoder network with self-attention and use the binary cross-entropy loss to trai...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601862/ https://www.ncbi.nlm.nih.gov/pubmed/37420434 http://dx.doi.org/10.3390/e24101414 |