Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Xiaoqi, Lu"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 2, Pp 486-495 (2024)
Knowledge graph generally has the problem of incomplete knowledge, which makes link prediction an important research content of knowledge graph. Existing models only focus on the embedding representation of triples. On the one hand, in terms of model
Externí odkaz:
https://doaj.org/article/e12598f5120644df847f3488358a4d65
Publikováno v:
Journal of Imaging, Vol 10, Iss 11, p 275 (2024)
Deep learning, particularly convolutional neural networks (CNNs), has revolutionized endoscopic image processing, significantly enhancing the efficiency and accuracy of disease diagnosis through its exceptional ability to extract features and classif
Externí odkaz:
https://doaj.org/article/0c35d7bf66564bdabf6681dfc35e7bf8
Publikováno v:
In Ecohydrology & Hydrobiology January 2024 24(1):201-216
Publikováno v:
IEEE Access, Vol 9, Pp 56709-56725 (2021)
At present, a large number of off-line videos is stored in the server of surveillance network. In order to retrieve the target face in these massive videos frames, the face retrieval system is designed. A new Quadruplet Network is constructed by chan
Externí odkaz:
https://doaj.org/article/ff17d2893b394ae4b4d793719869a672
Publikováno v:
IEEE Access, Vol 9, Pp 43759-43774 (2021)
The aim of this study is to track the faces of all pedestrians in the video surveillance. Face images from each camera can use Chinese Whisper face clustering algorithm to cluster the same person’s face together, and according to the results of fac
Externí odkaz:
https://doaj.org/article/54ae9c86698b44f68c44340226f86210
Publikováno v:
IEEE Access, Vol 7, Pp 85082-85089 (2019)
Iris segmentation plays an important role in the iris recognition system, and the accurate segmentation of iris can lay a good foundation for the follow-up work of iris recognition and can improve greatly the efficiency of iris recognition. We propos
Externí odkaz:
https://doaj.org/article/5833198fdb694566a1433500c876df7b
Publikováno v:
Scientific Programming. 2022:1-21
Motivation. In the environment of day and night video surveillance, in order to improve the accuracy of machine vision dense crowd counting and target detection, this paper designs a day and night dual-purpose crowd counting and crowd detection netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca11ed7b6b31df1300f14534461a6a18
https://doi.org/10.1155/2022/9863066
https://doi.org/10.1155/2022/9863066
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-19
Background. In crowded crowd images, traditional detection models often have the problems of inaccurate multiscale target count and low recall rate. Methods. In order to solve the above two problems, this paper proposes an MLP-CNN model, which combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::979edbb9b0c91d14cf5939bd5b19e078
https://doi.org/10.1155/2022/5708807
https://doi.org/10.1155/2022/5708807
Publikováno v:
Journal of Sensors. 2022:1-19
Objective. It has become a very difficult task for cameras to complete real-time crowd counting under congestion conditions. Methods. This paper proposes a DRC-ConvLSTM network, which combines a depth-aware model and depth-adaptive Gaussian kernel to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7ba79e728e0171f42bdbfd7ad581ca9
https://doi.org/10.1155/2022/7247757
https://doi.org/10.1155/2022/7247757
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78a6f3f725cfb3ad07a29eea23c328a5
https://doi.org/10.1007/s11042-023-15765-4
https://doi.org/10.1007/s11042-023-15765-4