Corpus ID: 235458509

MoDist: Motion Distillation for Self-supervised Video Representation Learning

@article{Xiao2021MoDistMD,
  title={MoDist: Motion Distillation for Self-supervised Video Representation Learning},
  author={Fanyi Xiao and Joseph Tighe and Davide Modolo},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.09703}
}
We present MoDist as a novel method to explicitly distill motion information into self-supervised video representations. Compared to previous video representation learning methods that mostly focus on learning motion cues implicitly from RGB inputs, we show that the representation learned with our MoDist method focus more on foreground motion regions and thus generalizes better to downstream tasks. To achieve this, MoDist enriches standard contrastive learning objectives for RGB video clips… Expand

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