Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Chaoyi Han"'
Publikováno v:
IEEE Access, Vol 7, Pp 43369-43382 (2019)
Recent studies have greatly promoted the development of semantic segmentation. Most state-of-the-art methods adopt fully convolutional networks (FCNs) to accomplish this task, in which the fully connected layer is replaced with the convolution layer
Externí odkaz:
https://doaj.org/article/61abffbed30243348cb82c81f7f209d2
Publikováno v:
IEEE Access, Vol 6, Pp 31783-31797 (2018)
This paper presents a hierarchical multinomial latent model with G0 distribution for synthetic aperture radar (SAR) image semantic segmentation. The model considers the scattering statistics and multiscale characteristics of the SAR images. Specifica
Externí odkaz:
https://doaj.org/article/b63d12da0fce42f1afaabd8b50cb5414
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 14:194-208
The 360-degree video/image, also called an omnidirectional video/image or panoramic video/image, is very important in some emerging areas such as virtual reality (VR). Therefore, corresponding image generation algorithms are urgently needed. However,
Publikováno v:
IEEE Access, Vol 7, Pp 43369-43382 (2019)
Recent studies have greatly promoted the development of semantic segmentation. Most state-of-the-art methods adopt fully convolutional networks (FCNs) to accomplish this task, in which the fully connected layer is replaced with the convolution layer
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030690656
With the development of mobile Internet technologies, wireless communication is facing huge challenges under the explosive growth of multimedia data, e.g. video conferences, online education. This makes it difficult to guarantee the communication qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d97cbdbd6a70ed52bd4a59d45cf5c4d
https://doi.org/10.1007/978-3-030-69066-3_3
https://doi.org/10.1007/978-3-030-69066-3_3
Publikováno v:
IEEE Access, Vol 6, Pp 31783-31797 (2018)
This paper presents a hierarchical multinomial latent model with G0 distribution for synthetic aperture radar (SAR) image semantic segmentation. The model considers the scattering statistics and multiscale characteristics of the SAR images. Specifica
Publikováno v:
WCSP
Currently, multimedia data grow in a explosive manner, whereas the effective bandwidth is quite limited in the wireless communications, such as high definition image/video communication, satellite communication and so on. Generative adversarial netwo
Publikováno v:
ICCC
Image compression based on region of interest (ROI) can maintain high quality on specific areas and behaves well in terms of subjective quality. However, existing methods lead to a severe loss of background information as well as block effects when t
Publikováno v:
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).
The secret information transmission model is studied and proved based on orthogonal basis space. In order to maintain the main information of the secret information’s carrier, which is usually media form, paper gets the principal component of media
Publikováno v:
GLOBECOM
Although the recent success of convolutional neural networks (CNNs) greatly advance the semantic segmentation of the natural images, few work has focused on the remote sensing images, especially the synthetic aperture radar (SAR) images. Specifically