DOI: 10.32657/10356/152741
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Effective action recognition with fully supervised and self-supervised methods

Abstract: Action recognition in videos has attracted interest in computer vision and machine learning communities thanks to its applications such as surveillance and smart homes. In addition to spatial information in individual frames, videos contain temporal information across the temporal dimension. Therefore, effective spatiotemporal representation is the key to accurate action recognition in videos.Previous works have proposed various fully-supervised and self-supervised methods for video representation learning. Fo… Show more

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