Optimizing the loss function for bounding box regression through scale smoothing
Deep learning technology is widely used in target detection in machine vision. However, existing regression loss functions used for training networks suffer from slow convergence and imprecise localization, hindering the realization of fast and accurate visual detection. To address this, the study p...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2024-11-01
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| Col·lecció: | Ain Shams Engineering Journal |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2090447924004210 |
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