Funder
Foshan Municipal Science and Technology Bureau
Guangzhou Municipal Science and Technology Bureau
Guangdong Provincial Department of Science and Technology
Jiangmen Science and Technology Bureau
Ministry of Science and Technology of the People's Republic of China
Reference64 articles.
1. H. Wang, C. Schmid, Action recognition with improved trajectories, in: Proceedings of the IEEE International Conference on Computer Vision, 2013, pp. 3551–3558.
2. Two-stream convolutional networks for action recognition in videos;Simonyan;Adv. Neural Inf. Process. Syst.,2014
3. Human action recognition approaches with video datasets-A survey;Ozyer;Knowl.-Based Syst.,2021
4. Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly;Xian;IEEE Trans. Pattern Anal. Mach. Intell.,2018
5. E. Kodirov, T. Xiang, S. Gong, Semantic autoencoder for zero-shot learning, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 3174–3183.