Self-supervised video representation learning
<p>Videos are an appealing source of data to train computer vision models. There exist almost infinite supplies of videos online, but exhaustive manual annotation is infeasible. The goal of this thesis is to learn strong video representations efficiently via self-supervised learning: a method...
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| Format: | Thesis |
| Language: | English |
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2022
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