Self-Supervised Learning for Videos: A Survey
Madeline C. Schiappa, Yogesh Singh Rawat, Mubarak A. Shah
2022 · ACM Computing Surveys · 153 citations
The remarkable success of deep learning in various domains relies on the availability of large-scale annotated datasets. However, obtaining annotations is expensive and requires great effort, which is especially challenging for videos. Moreover, the use of human-generated annotations leads to models with biased learning and poor domain generalization and robustness. As an alternative, self-supervised learning provides a way for representation learning that does not require annotations and has shown promise in both image and video domains. In contrast to the image domain, learning video repres…
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