Constraint Loss for Rotated Object Detection in Remote Sensing Images

Constraint Loss for Rotated Object Detection in Remote Sensing Images

Rotated object detection is an extension of object detection that uses an oriented bounding box instead of a general horizontal bounding box to define the object position. It is widely used in remote sensing images, scene text, and license plate recognition. The existing rotated object detection met...

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Bibliographic Details
Main Authors: Luyang Zhang, Haitao Wang, Lingfeng Wang, Chunhong Pan, Qiang Liu, Xinyao Wang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
rotated object detection
remote sensing image
loss functions
fast convergence
Online Access:https://www.mdpi.com/2072-4292/13/21/4291

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https://www.mdpi.com/2072-4292/13/21/4291

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