Abstract: This paper proposes a semantic video object segmentation system which combines spatio-temporal video segmentation and region tracking together to extract important semantic objects from ...
Deep learning-based models have achieved remarkable performance in video super-resolution (VSR) in recent years, but most of these models are less applicable to online video applications. These ...
Abstract: Video action recognition tasks face the trade-off challenge between computational cost and performance. Existing models often compromise their ability to capture extensive contextual ...
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