• Corpus ID: 234095672

Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections

@article{Mao2021ProbabilisticRE,
  title={Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections},
  author={Mingyuan Mao and Baochang Zhang and David S. Doermann and Jie Guo and Shumin Han and Yuan Feng and Xiaodi Wang and Errui Ding},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.03139}
}
Model ensembles are becoming one of the most effective approaches for improving object detection performance already optimized for a single detector. Conventional methods directly fuse bounding boxes but typically fail to consider proposal qualities when combining detectors. This leads to a new problem of confidence discrepancy for the detector ensembles. The confidence has little effect on single detectors but significantly affects detector ensembles. To address this issue, we propose a novel… 
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