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Found 2 papers, 1 papers with code
Few-Shot Action Localization without Knowing Boundaries
Learning to localize actions in long, cluttered, and untrimmed videos is a hard task, that in the literature has typically been addressed assuming the availability of large amounts of annotated training samples for each class -- either in a fully-supervised setting, where action boundaries are known, or in a weakly-supervised setting, where only class labels are known for each video.
Relationship-based Neural Baby Talk
Understanding interactions between objects in an image is an important element for generating captions.
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