Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Computer vision and image processing techniques"'
Publikováno v:
IET Image Processing, Vol 17, Iss 1, Pp 157-165 (2023)
Abstract Self‐attention has been successfully leveraged for long‐range feature‐wise similarities in deep learning super‐resolution (SR) methods. However, most of the SR methods only explore the features on the original scale, but do not take
Externí odkaz:
https://doaj.org/article/5ded187cb78c4401b89ccc6eff086b46
Publikováno v:
IET Image Processing, Vol 17, Iss 1, Pp 57-66 (2023)
Abstract Infrared target detection has strong anti‐interference ability, long working distance and can work day and night. So it is widely used in military security and transportation fields, and infrared road object detection is critical in traffi
Externí odkaz:
https://doaj.org/article/5bf5a0c66cc24a95b11abc40a2022a4c
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 7, Pp 940-957 (2022)
Abstract Road geometry perception indicates road direction and drivable area for Lane Keeping System and Lane Departure Warning System in Advanced Driver Assistance Systems or routing and decision‐making in Autonomous Driving. High‐definition map
Externí odkaz:
https://doaj.org/article/90207b1a594945c9904b6152559a079c
Publikováno v:
IET Image Processing, Vol 16, Iss 9, Pp 2446-2456 (2022)
Abstract With the fast development of deep learning models, hierarchical convolutional neural networks have achieved great success in image denoising tasks. To further boost the performance of image denoising, a novel non‐local hierarchical network
Externí odkaz:
https://doaj.org/article/0523cda246ef4445a6647a7642848f10
Publikováno v:
IET Communications, Vol 16, Iss 11, Pp 1325-1331 (2022)
Abstract Many countries actively promote the benefits of sports; in particular, water sports are popular among the younger generation. However, despite the mature development of equipment in diving, it requires relevant training to avoid decompressio
Externí odkaz:
https://doaj.org/article/f0b3af51f53342f9bdeb5c09e9502eb5
Publikováno v:
Electronics Letters, Vol 58, Iss 21, Pp 795-797 (2022)
Abstract Affective video content analysis is an active topic in the field of affective computing. In general, affective video content can be depicted by feature vectors of multiple modalities, so it is important to effectively fuse information. In th
Externí odkaz:
https://doaj.org/article/6be37a7afda247e4a11eaa2fd4aeca19
Autor:
Jeong Jun Lee, Hyun Kim
Publikováno v:
Electronics Letters, Vol 58, Iss 19, Pp 723-725 (2022)
Abstract Several networks exhibiting excellent performance in the field of computer vision still suffer from the challenge of over‐parameterization. Over‐parameterized networks have several parameters that cannot be trained, owing to the poor bac
Externí odkaz:
https://doaj.org/article/5e0d9abdb3314c1298a858880a15c3b6
Publikováno v:
Electronics Letters, Vol 58, Iss 20, Pp 765-767 (2022)
Abstract Traditional deep convolutional networks have shown that both RGB and depth are complementary for video action recognition. However, it is difficult to enhance the action recognition accuracy because of the limitation of the single convolutio
Externí odkaz:
https://doaj.org/article/caed5d9a90be4e95959cda144a4457c7
Autor:
Tuong Le
Publikováno v:
IET Communications, Vol 16, Iss 5, Pp 433-441 (2022)
Abstract In practical datasets used for supervised learning, the uneven distribution of the amounts of data between classes is known as the class imbalance problem, and can reduce the performance of basic classifiers. The class imbalance problem aris
Externí odkaz:
https://doaj.org/article/c6a73eb2be9544f282b81dbbd5900299
Publikováno v:
IET Image Processing, Vol 16, Iss 4, Pp 1162-1180 (2022)
Abstract It is a challenge work to estimate the 3D human motion from image sequence. There are some problems, such as unsatisfactory estimation error, ambiguous matching and transient occlusion. Although the prior information of learning large‐scal
Externí odkaz:
https://doaj.org/article/2e308d7d1b0e40e294fcea305d03c548