Zobrazeno 1 - 10
of 60
pro vyhledávání: '"two-stream networks"'
Autor:
JI Yanqing, ZHANG Yujin
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 8, Pp 1981-1994 (2023)
Copy-move is a common way of the image forgery. Traditional methods are committed to locating tam-pering regions of copy-move tampering images, but the accurate distinction between the source and target of the copy-move image has become a bottleneck
Externí odkaz:
https://doaj.org/article/e532c62c18f14acd927264315d2a31af
Autor:
Ashok Sarabu, Ajit Kumar Santra
Publikováno v:
Emerging Science Journal, Vol 5, Iss 1, Pp 25-33 (2021)
Two-stream convolutional networks plays an essential role as a powerful feature extractor in human action recognition in videos. Recent studies have shown the importance of two-stream Convolutional Neural Networks (CNN) to recognize human action reco
Externí odkaz:
https://doaj.org/article/7736662816d64ce8bc6a15a54d90a551
Autor:
Dewen Seng, Xin Wu
Publikováno v:
Sensors, Vol 23, Iss 3, p 1287 (2023)
Generalization has always been a keyword in deep learning. Pretrained models and domain adaptation technology have received widespread attention in solving the problem of generalization. They are all focused on finding features in data to improve the
Externí odkaz:
https://doaj.org/article/aa118c2a59f344d1a14a3a96b74314dd
Autor:
Junxuan Zhang, Haifeng Hu
Publikováno v:
IEEE Access, Vol 7, Pp 15222-15229 (2019)
Two-stream Convolutional Neural Network has shown a remarkable performance for video action recognition. Many recent works mainly focus on the fusion of appearance and motion information to obtain a robust spatiotemporal representation for action vid
Externí odkaz:
https://doaj.org/article/4d44f4c034d1496c9b48766a815a976f
Publikováno v:
IEEE Access, Vol 7, Pp 57267-57275 (2019)
The method based on the two-stream networks has achieved great success in video action recognition. However, most existing methods employ the same structure for both spatial and temporal networks, leading to unsatisfied performance. In this paper, we
Externí odkaz:
https://doaj.org/article/6b6a3354a3f1488ea36948f55855d1c0
Autor:
Zheng Liu, Haifeng Hu
Publikováno v:
IEEE Access, Vol 7, Pp 14969-14976 (2019)
Two-stream convolutional networks have shown strong performance in a video action recognition task for its ability to capture spatial and temporal features simultaneously. However, the calculation of optical flow is time-consuming and it cannot be ap
Externí odkaz:
https://doaj.org/article/21930c0983084eb6a281e50729f5a956
Akademický článek
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Akademický článek
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Publikováno v:
Algorithms, Vol 13, Iss 7, p 169 (2020)
Modeling spatiotemporal representations is one of the most essential yet challenging issues in video action recognition. Existing methods lack the capacity to accurately model either the correlations between spatial and temporal features or the globa
Externí odkaz:
https://doaj.org/article/86f1e0f1164c4a7984b5b06b7aef645f
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 18; Pages: 11819
In order that fully self-driving vehicles can be realized, it is believed that systems where the driver shares control and authority with the intelligent vehicle offer the most effective solution. An understanding of driving intention is the key to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dce1a961a0530e39ae53a2a1bae8be57
https://pubmed.ncbi.nlm.nih.gov/36142087
https://pubmed.ncbi.nlm.nih.gov/36142087