Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images

Object detection in aerial images has greater rotational and scale variations because of the overhead image capture, which requires the detection model to more flexibly handle geometric transformations.

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Guo-Ye Yang, Xiang-Li Li, Ralph R. Martin, Shi-Min Hu (2024). Dataset: Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images. https://doi.org/10.57702/67iwxwuj

DOI retrieved: December 3, 2024

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2111.03420
Author Guo-Ye Yang
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Xiang-Li Li
Ralph R. Martin
Shi-Min Hu
Homepage https://arxiv.org/abs/1506.02025