Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification

@inproceedings{Misra2016ShuffleAL,
  title={Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification},
  author={Ishan Misra and C. Lawrence Zitnick and Martial Hebert},
  booktitle={ECCV},
  year={2016}
}
In this paper, we present an approach for learning a visual representation from the raw spatiotemporal signals in videos. Our representation is learned without supervision from semantic labels. We formulate our method as an unsupervised sequential verification task, i.e., we determine whether a sequence of frames from a video is in the correct temporal order. With this simple task and no semantic labels, we learn a powerful visual representation using a Convolutional Neural Network (CNN). The… CONTINUE READING
Highly Influential
This paper has highly influenced 18 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 112 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 20 times over the past 90 days. VIEW TWEETS

12 Figures & Tables

Topics

Statistics

050201620172018
Citations per Year

113 Citations

Semantic Scholar estimates that this publication has 113 citations based on the available data.

See our FAQ for additional information.