Smooth GIoU Loss for Oriented Object Detection in Remote Sensing Images

Smooth GIoU Loss for Oriented Object Detection in Remote Sensing Images

Oriented object detection (OOD) can more accurately locate objects with an arbitrary direction in remote sensing images (RSIs) compared to horizontal object detection. The most commonly used bounding box regression (BBR) loss in OOD is smooth L1 loss, which requires the precondition that spatial par...

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Bibliographic Details
Main Authors: Xiaoliang Qian, Niannian Zhang, Wei Wang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
oriented object detection
remote sensing images
smooth GIoU loss
bounding box regression
Online Access:https://www.mdpi.com/2072-4292/15/5/1259

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