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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Niranjan Ravi, Mohamed El-Sharkawy
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-12-01
Edice:	Future Internet
Témata:	3D 2D IoU neural network small objects KITTI
On-line přístup:	https://www.mdpi.com/1999-5903/15/12/399
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!