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Online pre-training with long-form videos

Global Conference on Consumer Electronics (GCE), 2024
Itsuki Kato
Toru Tamaki
Main:1 Pages
1 Figures
Bibliography:1 Pages
Abstract

In this study, we investigate the impact of online pre-training with continuous video clips. We will examine three methods for pre-training (masked image modeling, contrastive learning, and knowledge distillation), and assess the performance on downstream action recognition tasks. As a result, online pre-training with contrast learning showed the highest performance in downstream tasks. Our findings suggest that learning from long-form videos can be helpful for action recognition with short videos.

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