Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Zhenchao CUI"'
Publikováno v:
IEEE Access, Vol 12, Pp 68847-68856 (2024)
To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip connections are usually used to retain detailed features. However, ski
Externí odkaz:
https://doaj.org/article/1a28e7306ca0459f895afe6e016cb331
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2703-2715 (2023)
Abstract Hand gesture segmentation is an essential step to recognize hand gestures for human–robot interaction. However, complex backgrounds and the variety of gesture shapes cause low semantic segmentation accuracy in the existing lightweight meth
Externí odkaz:
https://doaj.org/article/24858c24bf64406d8138f2d9ec091e2a
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 1581-1606 (2023)
Abstract As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of robotics. Thus, there has been growing interest in the development of vision-based hand gesture rec
Externí odkaz:
https://doaj.org/article/b09f729d1e9943a2a52e3e1f53a4628a
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6437-6457 (2023)
Abstract Object detection in unmanned aerial vehicle (UAV) images has attracted the increasing attention of researchers in recent years. However, it is challenging for small object detection using conventional detection methods because less location
Externí odkaz:
https://doaj.org/article/31eb2d5ac83d416f84fecde9b0abc512
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4645-4656 (2023)
Abstract Continuous sign language recognition (CSLR) is an essential task for communication between hearing-impaired and people without limitations, which aims at aligning low-density video sequences with high-density text sequences. The current meth
Externí odkaz:
https://doaj.org/article/a1d3e85a16124594b032f0810bb67f02
MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation
Publikováno v:
Digital Chinese Medicine, Vol 5, Iss 4, Pp 406-418 (2022)
Objective: For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation, a novel multi-level method based on the multi-scale fusion residual neural network (MF2ResU-Net) model is proposed. Methods: To obtain ref
Externí odkaz:
https://doaj.org/article/789b6cfb077e4216af36739ea6162889
Publikováno v:
IEEE Access, Vol 10, Pp 127530-127539 (2022)
Sign language production aims to automatically generate coordinated sign language videos from spoken language. As a typical sequence to sequence task, the existing methods are mostly to regard the skeletons as a whole sequence, however, those do not
Externí odkaz:
https://doaj.org/article/cd69ef84ab65496083c291388d423998
Publikováno v:
Sensors, Vol 22, Iss 24, p 9606 (2022)
As a typical sequence to sequence task, sign language production (SLP) aims to automatically translate spoken language sentences into the corresponding sign language sequences. The existing SLP methods can be classified into two categories: autoregre
Externí odkaz:
https://doaj.org/article/a5d43609e4754014895bcd56aec7ec31
Publikováno v:
Information Processing in Agriculture, Vol 5, Iss 2, Pp 246-252 (2018)
Since of the scale and the various shapes of down in the image, it is difficult for traditional image recognition method to correctly recognize the type of down image and get the required recognition accuracy, even for the Traditional Convolutional N
Externí odkaz:
https://doaj.org/article/e2ef2c01646f4d93a7ed0b98050d31e9
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54b7ffbfdae129a8c85fd16d69c18a39
https://doi.org/10.1007/s12652-022-03736-w
https://doi.org/10.1007/s12652-022-03736-w