Labelling unlabelled videos from scratch with multi-modal self-supervision
A large part of the current success of deep learning lies in the effectiveness of data -- more precisely: of labeled data. Yet, labelling a dataset with human annotation continues to carry high costs, especially for videos. While in the image domain, recent methods have allowed to generate meaningfu...
| Main Authors: | , , , |
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| 格式: | Conference item |
| 語言: | English |
| 出版: |
NeurIPS
2020
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