Probabilistic Representations for Video Contrastive Learning

@article{Park2022ProbabilisticRF,
  title={Probabilistic Representations for Video Contrastive Learning},
  author={Jungin Park and Jiyoung Lee and Ig-Jae Kim and Kwanghoon Sohn},
  journal={2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2022},
  pages={14691-14701}
}
  • Jungin ParkJiyoung Lee K. Sohn
  • Published 8 April 2022
  • Computer Science
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
This paper presents Probabilistic Video Contrastive Learning, a self-supervised representation learning method that bridges contrastive learning with probabilistic representation. We hypothesize that the clips composing the video have different distributions in short-term duration, but can represent the complicated and sophisticated video distribution through combination in a common embedding space. Thus, the proposed method represents video clips as normal distributions and combines them into… 
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