A Rotating Object Detector with Convolutional Dynamic Adaptive Matching

A Rotating Object Detector with Convolutional Dynamic Adaptive Matching

Standard convolution sliding along a fixed direction in common convolutional neural networks (CNNs) is inconsistent with the direction of aerial targets, making it difficult to effectively extract features with high-aspect-ratio and arbitrary directional targets. To this end, We have fully considere...

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Bibliographic Details
Main Authors:	Leibo Yu, Yu Zhou, Xianglong Li, Shiquan Hu, Dongling Jing
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Applied Sciences
Subjects:	remote sensing detection convolutional neural network dynamic network rotational convolution
Online Access:	https://www.mdpi.com/2076-3417/14/2/633

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