Shared-Weight-Based Multi-Dimensional Feature Alignment Network for Oriented Object Detection in Remote Sensing Imagery

Arbitrarily Oriented Object Detection in aerial images is a highly challenging task in computer vision. The mainstream methods are based on the feature pyramid, while for remote-sensing targets, the misalignment of multi-scale features is always a thorny problem. In this article, we address the feat...

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Detalles Bibliográficos
Autores principales: Hu, Xinxin, Zhu, Changming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824571/
https://www.ncbi.nlm.nih.gov/pubmed/36616808
http://dx.doi.org/10.3390/s23010207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824571/
https://www.ncbi.nlm.nih.gov/pubmed/36616808
http://dx.doi.org/10.3390/s23010207

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