A Dual-Task Deep Neural Network for Scene and Action Recognition Based on 3D SENet and 3D SEResNet
Author:
Affiliation:
1. Xi'an University of Posts and Telecommunications, China
2. Xi'an University of Posts and Telecommunications, China and Shaanxi Provincial Information Engineering Research Institute, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3573942.3574077
Reference29 articles.
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2. Khurram Soomro Amir Roshan Zamir and Mubarak Shah.2012. UCF101: A Dataset of 101 Human Action Classes From Videos in The Wild. Retrieved Match 28 2022 from https://www.crcv.ucf.edu/data/UCF101.php.
3. Squeeze-and-Excitation Networks
4. Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
5. H. Wang and C. Schmid.2013.Action Recognition with Improved Trajectories 2013 IEEE International Conference on Computer Vision Sydney NSW Australia (Dce.2013) 3551-3558. https://doi.org/10.1109/ICCV.2013.441
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