Zobrazeno 1 - 10
of 1 266
pro vyhledávání: '"Stream network"'
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 6, pp. 854-870.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-01-2024-0020
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 56, Iss , Pp 101760- (2024)
Deep learning models based on Transformer and CNN are current research hotspots. However, there are more time complexity and space complexity in extracting global–local features, the feature extraction ability is insufficient for small lesions in C
Externí odkaz:
https://doaj.org/article/6df679784e6b47faaa39bee69bd10658
Autor:
Altaf Hussain, Samee Ullah Khan, Noman Khan, Waseem Ullah, Ahmed Alkhayyat, Meshal Alharbi, Sung Wook Baik
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 632-647 (2024)
Nowadays, for controlling crime, surveillance cameras are typically installed in all public places to ensure urban safety and security. However, automating Human Activity Recognition (HAR) using computer vision techniques faces several challenges suc
Externí odkaz:
https://doaj.org/article/9c969e022d004230998422f0813d0154
Publikováno v:
地球与行星物理论评, Vol 55, Iss 2, Pp 257-266 (2024)
Applications of neural network algorithms in rock physics have developed rapidly developed, mainly due to the neural network's powerful abilities in data modeling, signal processing, and image recognition. However, mathematical and physical explanati
Externí odkaz:
https://doaj.org/article/6ed4afb6f46540b4a86f5fe5aa6b5e3e
Publikováno v:
IEEE Access, Vol 12, Pp 136088-136102 (2024)
Facial expression recognition (FER) is an important task in human emotion analysis. Though researchers have made great progress in FER, the semantic information lying in facial landmarks has not been fully exploited. In this paper, we propose a landm
Externí odkaz:
https://doaj.org/article/39bb51628a5e45f9b30ba2429e8cac7d
Publikováno v:
IEEE Access, Vol 12, Pp 125881-125889 (2024)
Auto-encoder has been widely used in video anomaly detection which aims to detect abnormal segments in video surveillance. However, the previous auto-encoder methods preferred to reconstruct a model of the normal event that only trains on normal samp
Externí odkaz:
https://doaj.org/article/ff223485f736472587222f9db6fe46f8
Publikováno v:
IEEE Access, Vol 12, Pp 90511-90524 (2024)
Nowadays, powerful image editing applications not only simplify image processing significantly but also enhance the realism of processed digital images. However, this convenience has presented unprecedented challenges in verifying the authenticity of
Externí odkaz:
https://doaj.org/article/93d8876826ab4bac89ba5875b0c02764
Publikováno v:
IEEE Access, Vol 12, Pp 65856-65868 (2024)
Single-frame optical flow estimation is a more challenging task than predicting the optical flow between adjacent frames in a video. This paper presents a two-stream network that combines motion information from correlation images with appearance inf
Externí odkaz:
https://doaj.org/article/239511f0e2b846fba82f1827f978a4f7
Autor:
Jiongguang Zhu, Wei Zhang
Publikováno v:
IEEE Access, Vol 12, Pp 32140-32151 (2024)
Fine-grained image recognition is a research highlight in the computer vision. Compared with traditional image classification tasks, it places more emphasis on distinguishing objects with similar appearance features but belonging to different categor
Externí odkaz:
https://doaj.org/article/f5fcc9ede78a4d4d927e534cbf3923b4
Publikováno v:
Sensors, Vol 24, Iss 14, p 4646 (2024)
Human activity recognition (HAR) is pivotal in advancing applications ranging from healthcare monitoring to interactive gaming. Traditional HAR systems, primarily relying on single data sources, face limitations in capturing the full spectrum of huma
Externí odkaz:
https://doaj.org/article/dba211fb3f894f91aa06f1e28dfa5e33