Addressing the Gaps of IoU Loss in 3D Object Detection with IIoU
Three-dimensional object detection involves estimating the dimensions, orientations, and locations of 3D bounding boxes. Intersection of Union (IoU) loss measures the overlap between predicted 3D box and ground truth 3D bounding boxes. The localization task uses smooth-L1 loss with IoU to estimate t...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2023-12-01
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| coleção: | Future Internet |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1999-5903/15/12/399 |
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