Frequency Enhancement Network for Efficient Compressed Video Action Recognition
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering,Beijing,PR China,100876
2. ZTE Corpration,Nanjing,PR China,210008
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222848.pdf?arnumber=10222848
Reference25 articles.
1. Team-net: Multi-modal learning for video action recognition with partial decoding;wang;BMVC,2021
2. A Slow-I-Fast-P Architecture for Compressed Video Action Recognition
3. Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain
4. Learning in the Frequency Domain
5. DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Human–robot interaction-oriented video understanding of human actions;Engineering Applications of Artificial Intelligence;2024-07
2. Action recognition in compressed domains: A survey;Neurocomputing;2024-04
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