Oriented R-CNN for Object Detection

@article{Xie2021OrientedRF,
  title={Oriented R-CNN for Object Detection},
  author={Xingxing Xie and Gong Cheng and Jiabao Wang and Xiwen Yao and Junwei Han},
  journal={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2021},
  pages={3500-3509}
}
Current state-of-the-art two-stage detectors generate oriented proposals through time-consuming schemes. This diminishes the detectors’ speed, thereby becoming the computational bottleneck in advanced oriented object detection systems. This work proposes an effective and simple oriented object detection framework, termed Oriented R-CNN, which is a general two-stage oriented detector with promising accuracy and efficiency. To be specific, in the first stage, we propose an oriented Region… 

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