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Corner-Point and Foreground-Area IoU Loss: Better Localization of Small Objects in Bounding Box Regression
Bounding box regression is a crucial step in object detection, directly affecting the localization performance of the detected objects. Especially in small object detection, an excellent bounding box regression loss can significantly alleviate the problem of missing small objects. However, there are...
| 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/PMC10223589/ https://www.ncbi.nlm.nih.gov/pubmed/37430876 http://dx.doi.org/10.3390/s23104961 |