Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhen ZUO"'
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9365 (2022)
Side-scan sonar systems play an important role in tasks such as marine terrain exploration and underwater target identification. Target segmentation of side-scan sonar images is an effective method of underwater target detection. However, the princip
Externí odkaz:
https://doaj.org/article/24d85a955ffb44d799c977d601b06e2d
Publikováno v:
Neural Computing and Applications. 34:593-606
Powered by deep learning technology, automatic check-out (ACO) has made great breakthroughs. Nevertheless, because of the complex nature of real scenes, ACO is still an exceedingly testing task in the field of computer vision. Existing methods cannot
Publikováno v:
Remote Sensing
Volume 13
Issue 16
Pages: 3200
Remote Sensing, Vol 13, Iss 3200, p 3200 (2021)
Volume 13
Issue 16
Pages: 3200
Remote Sensing, Vol 13, Iss 3200, p 3200 (2021)
Detecting infrared small targets lacking texture and shape information in cluttered environments is extremely challenging. With the development of deep learning, convolutional neural network (CNN)-based methods have achieved promising results in gene
Publikováno v:
Electronics, Vol 9, Iss 2044, p 2044 (2020)
Electronics
Volume 9
Issue 12
Electronics
Volume 9
Issue 12
Recognition of surface targets has a vital influence on the development of military and civilian applications such as maritime rescue patrols, illegal-vessel screening, and maritime operation monitoring. However, owing to the interference of visual s
Publikováno v:
Diagnostics; Volume 11; Issue 3; Pages: 501
Diagnostics, Vol 11, Iss 501, p 501 (2021)
Diagnostics
Diagnostics, Vol 11, Iss 501, p 501 (2021)
Diagnostics
Segmentation of skin lesions is a challenging task because of the wide range of skin lesion shapes, sizes, colors, and texture types. In the past few years, deep learning networks such as U-Net have been successfully applied to medical image segmenta
Publikováno v:
CVPR Workshops
In existing convolutional neural networks (CNNs), both convolution and pooling are locally performed for image regions separately, no contextual dependencies between different image regions have been taken into consideration. Such dependencies repres