Motion-modulated Temporal Fragment Alignment Network For Few-Shot Action Recognition

Author:

Wu Jiamin1,Zhang Tianzhu1,Zhang Zhe2,Wu Feng1,Zhang Yongdong1

Affiliation:

1. University of Science and Technology of China

2. Lunar Exploration and Space Engineering Center of CNSA

Publisher

IEEE

Reference50 articles.

1. Attention is all you need;ashish;Advances in neural information processing systems,2017

2. A Closer Look at Spatiotemporal Convolutions for Action Recognition

3. Ucf101: A dataset of 101 human actions classes from videos in the wild;soomro;ArXiv Preprint,2012

4. Prototypical networks for few-shot learning;snell;Advances in neural information processing systems,2017

5. Two-stream convolutional networks for action recognition in videos;simonyan;Advances in neural information processing systems,2014

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