Zobrazeno 1 - 10
of 441
pro vyhledávání: '"stream networks"'
Autor:
Ibrahim Ali Hasani, Omar Arif
Publikováno v:
IEEE Access, Vol 12, Pp 156337-156346 (2024)
This paper presents Pose Calibrated Feature Aggregation Network (PCFAN), an architecture for set/video face recognition. Using stacked attention blocks and a multi-modal architecture, it automatically assigns adaptive weights to every instance in the
Externí odkaz:
https://doaj.org/article/5fe05ad8504c4ccbb2bc5b2ead08a03e
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
Publikováno v:
Environmental and Sustainability Indicators, Vol 21, Iss , Pp 100330- (2024)
Low-order streams contribute to the abiotic and biotic character of large rivers and are renowned for harboring unique forms of aquatic flora and fauna. However, most studies on headwater streams mainly focus on the mainstems and overlook the contrib
Externí odkaz:
https://doaj.org/article/c040da808f904adeaa3cb0b0efc2c4b1
Publikováno v:
IEEE Access, Vol 11, Pp 70621-70634 (2023)
Sleep staging serves as a critical basis for assessing sleep quality and diagnosing sleep disorders in clinical practice. Most existing methods rely solely on a single channel for sleep staging, thereby neglecting the complementary nature of multimod
Externí odkaz:
https://doaj.org/article/bcd3a48172814422b8a947bde4958131
Akademický článek
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Publikováno v:
Earth and Space Science, Vol 9, Iss 12, Pp n/a-n/a (2022)
Abstract Streams in cultivated lowlands are commonly supersaturated with CO2 and are a source of CO2 to the atmosphere. Great uncertainties exist regarding the spatiotemporal variations of CO2 concentrations and emission rates in stream‐lake fluvia
Externí odkaz:
https://doaj.org/article/ec28249bf4a64675af1c192f73101a22
Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 10, p 4974 (2023)
Blind image quality assessment (BIQA) aims to evaluate image quality in a way that closely matches human perception. To achieve this goal, the strengths of deep learning and the characteristics of the human visual system (HVS) can be combined. In thi
Externí odkaz:
https://doaj.org/article/06bc8c29d99a44c49ee66afd976bcfe1
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