• Corpus ID: 227012681

Privileged Knowledge Distillation for Online Action Detection

@article{Zhao2020PrivilegedKD,
  title={Privileged Knowledge Distillation for Online Action Detection},
  author={Peisen Zhao and Jiajie Wang and Lingxi Xie and Ya Zhang and Yanfeng Wang and Qi Tian},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.09158}
}
Online Action Detection (OAD) in videos is proposed as a per-frame labeling task to address the real-time prediction tasks that can only obtain the previous and current video frames. This paper presents a novel learning-with-privileged based framework for online action detection where the future frames only observable at the training stages are considered as a form of privileged information. Knowledge distillation is employed to transfer the privileged information from the offline teacher to… 

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