OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

@article{Liang2021OPANASOP,
  title={OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection},
  author={Tingting Liang and Yongtao Wang and Guosheng Hu and Zhi Tang and Haibin Ling},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021},
  pages={10190-10198}
}
Recently, neural architecture search (NAS) has been exploited to design feature pyramid networks (FPNs) and achieved promising results for visual object detection. Encouraged by the success, we propose a novel One-Shot Path Aggregation Network Architecture Search (OPANAS) algorithm, which significantly improves both searching efficiency and detection accuracy. Specifically, we first introduce six heterogeneous information paths to build our search space, namely top-down, bottom-up, fusing… 

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