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Swin-Transformer-Based YOLOv5 for Small-Object Detection in Remote Sensing Images
This study aimed to address the problems of low detection accuracy and inaccurate positioning of small-object detection in remote sensing images. An improved architecture based on the Swin Transformer and YOLOv5 is proposed. First, Complete-IOU (CIOU) was introduced to improve the K-means clustering...
| 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/PMC10098803/ https://www.ncbi.nlm.nih.gov/pubmed/37050694 http://dx.doi.org/10.3390/s23073634 |