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Few-shot action recognition aims at recognizing novel action classes with only a small number of labeled video samples. We propose a temporal relation based attentive prototype network TRAPN for few-shot action recognition. Concretely, we tackle this challenging task from three aspects. Firstly, we propose a spatio-temporal motion enhancement STME module to highlight object motions in videos. The STME module utilizes cues from content displacements in videos to enhance the features in the motion-related regions. Secondly, we learn the core common action transformations by our temporal relation TR module, which captures the temporal relations at short-term and long-term time scales.
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Reformulating Zero-shot Action Recognition for Multi-label Actions | OpenReview

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Learning Similarity: Feature-Aligning Network for Few-shot Action Recognition Abstract: Deep learning structures have achieved impressive results in action recognition. However, most of deep models require extensive training on large scale datasets.
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Meaning of "action shot" in the English dictionary

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The definition of action shot in the dictionary is a still photograph that shows someone or something in motion. Other definition of action shot is a sequence of moving images in a film or TV program that shows someone or something in motion. Educalingo cookies are used to personalize ads and get web traffic statistics.
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