Action Recognition in Videos with Spatio-Temporal Fusion 3D Convolutional Neural Networks
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1134/S105466182103024X.pdf
Reference29 articles.
1. K. Cheng, Y. F. Zhang, X. Y. He, W. H. Chen, J. Cheng, and H. Q. Lu, “Skeleton-based action recognition with shift graph convolutional network,” in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 180–189. https://doi.org/10.1109/CVPR42600.2020.00026.
2. J. Donahue, L. A. Hendricks, M. Rohrbach, S. Venugopalan, S. Guadarrama, K. Saenko, and T. Darrell, “Long-term recurrent convolutional networks for visual recognition and description,” IEEE Trans. Pattern Anal. Mach. Intell. 39 (4), 677–691 (2017). https://doi.org/10.1109/Tpami.2016.2599174
3. C. Feichtenhofer, A. Pinz, and R. P. Wildes, “Spatiotemporal multiplier networks for video action recognition,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (2017), pp. 7445–7454. https://doi.org/10.1109/CVPR.2017.787.
4. C. Feichtenhofer, A. Pinz, and A. Zisserman, “Convolutional two-stream network fusion for video action recognition,” in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016), pp. 1933–1941. https://doi.org/10.1109/CVPR.2016.213.
5. Y. Gao, O. Beijbom, N. Zhang, and T. Darrell, “Compact bilinear pooling,” in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016), pp. 317–326. https://doi.org/10.1109/CVPR.2016.41.
Cited by 4 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. A Novel Hybrid Deep Learning Model for Complex Systems: A Case of Train Delay Prediction;Advances in Civil Engineering;2024-05-07
2. Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification;IEEE Access;2024
3. Deep Learning Approach for Human Action Recognition Using a Time Saliency Map Based on Motion Features Considering Camera Movement and Shot in Video Image Sequences;Information;2023-11-15
4. Three-Dimensional Action Recognition for Basketball Teaching Coupled with Deep Neural Network;Electronics;2022-11-18
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3