Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification
Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification
Ishan Misra,C. L. Zitnick,M. Hebert
2016 · DOI: 10.1007/978-3-319-46448-0_32
European Conference on Computer Vision · 869회 인용
TLDR
This paper forms an approach for learning a visual representation from the raw spatiotemporal signals in videos using a Convolutional Neural Network, and shows that this method captures information that is temporally varying, such as human pose.