Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Lin Luo"'
Publikováno v:
Diagnostics, Vol 13, Iss 3, p 357 (2023)
Machine Learning (ML) is an algorithm based on big data, which learns patterns from the previously observed data through classifying, predicting, and optimizing to accomplish specific tasks. In recent years, there has been rapid development in the fi
Externí odkaz:
https://doaj.org/article/259935ed65d046f6b96688b83e34dec2
Publikováno v:
Neural Computing and Applications. 34:21999-22013
Publikováno v:
Neurocomputing. 476:87-101
Publikováno v:
Neurocomputing. 457:155-167
This paper proposes a change detection algorithm based on Fully Convolutional Siamese Networks for optical aerial images, which is trained by using an improved Contrastive Loss-Focal Contrastive Loss (FCL). The proposed framework equipped with contra
Publikováno v:
Neurocomputing. 461:217-227
Convolutional neural networks (CNNs) have been widely used in end-to-end stereo matching networks in recent years. However, most stereo networks are not robust to variations in the environment and thus are difficult to be extended to practical applic
Publikováno v:
Asian Conference on Arts & Humanities; 2023, p379-398, 20p
Autor:
Ming-Qing Zhang, Xiong-Lin Luo
Publikováno v:
Expert Systems with Applications. 213:118921
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 31:189-202
Local binary pattern (LBP) and its many variants have shown effectiveness for texture classification. However, most of these LBP methods focus on encoding local intensity differences between a central pixel and its neighboring sampling points and con
Publikováno v:
London Imaging Meeting. 1:49-53
Publikováno v:
Multimedia Tools and Applications. 80:3489-3504
Blind image deblurring is the process of recovering the original image from a degraded image under unknown point spread function, and it is the solution to an ill-posed inverse problem. In this paper, the blurry image is firstly divided into skeleton