TIR-Net: Task Integration Based on Rotated Convolution Kernel for Oriented Object Detection in Aerial Images
The application of oriented object detection in the field of aerial images has gained substantial attention and made significant progress. However, most one-stage object detectors struggle to extract rotation-invariant features of oriented objects using ordinary convolutions. And the structure of tw...
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Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-13 |
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