Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons
Rotated object detection in aerial images presents unique challenges due to the variability in object orientation and aspect ratios. In object detection, the common practice is to use boxes to enclose the spatial locations of discovered objects. Traditionally, these bounding boxes are rectangular in...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| Colecção: | IEEE Access |
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| Acesso em linha: | https://ieeexplore.ieee.org/document/10772073/ |
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