Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Wujie Zhou"'
Publikováno v:
IEEE Access, Vol 11, Pp 100622-100631 (2023)
Anomaly detection is a crucial research field in computer vision with diverse applications in practical scenarios. The common anomaly detection methods employed currently consist of autoencoders, generative adversarial networks, and knowledge distill
Externí odkaz:
https://doaj.org/article/fda7e3dbdb424a2c9fe222e7200a9c8d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2025-2034 (2023)
Although progress has been made in multisource data scene parsing of natural scene images, extracting complex backgrounds from aerial images of various types and presenting the image at different scales remain challenging. Various factors in high-res
Externí odkaz:
https://doaj.org/article/69c17e1ada424ae8adac751efd38219c
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103087- (2022)
Although significant progress has been made in scene classification of high-resolution remote-sensing images (HRRSIs), dual-modal HRRSI scene classification is still an active and challenging issue. In this study, we introduce an end-to-end dense-att
Externí odkaz:
https://doaj.org/article/009811ec0f5e48bcb30570a3a6097261
Publikováno v:
IEEE Access, Vol 8, Pp 202765-202773 (2020)
With the advent of convolutional neural networks, research progress in visual saliency prediction has been impressive. While integrating features at different stages from the backbone network is important, feature extraction itself is equally relevan
Externí odkaz:
https://doaj.org/article/655b44f13d4d4a8e90fdd7d047db8d96
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5510 (2022)
The success of deep learning and the segmentation of remote sensing images (RSIs) has improved semantic segmentation in recent years. However, existing RSI segmentation methods have two inherent problems: (1) detecting objects of various scales in RS
Externí odkaz:
https://doaj.org/article/671a7150331d4bcd8739069b82ffc2da
Publikováno v:
IEEE Access, Vol 7, Pp 169350-169358 (2019)
Indoor scene segmentation is a difficult task in computer vision. We propose an indoor scene segmentation framework, called DFMNet, incorporating RGB and complementary depth information to establish indoor scene segmentation. We use the squeeze-and-e
Externí odkaz:
https://doaj.org/article/4c045ebfb21747088dd78f5e8ea3eb96
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2019 (2019)
In order to obtain the distances between the surrounding objects and the vehicle in the traffic scene in front of the vehicle, a monocular visual depth estimation method based on the depthwise separable convolutional neural network is proposed in thi
Externí odkaz:
https://doaj.org/article/57f3c8784324401fb5992835c2710e93
Autor:
Yuzhen Chen, Wujie Zhou
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5806 (2020)
Depth information has been widely used to improve RGB-D salient object detection by extracting attention maps to determine the position information of objects in an image. However, non-salient objects may be close to the depth sensor and present high
Externí odkaz:
https://doaj.org/article/8253d439b8f7412fbc60f4fdcb0015d6
Autor:
Siyuan Huang, Wujie Zhou
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3906 (2019)
Blind perceptual quality measurement of stereoscopic 3D (S3D) images has become an important and challenging issue in the research field of S3D imaging. In this paper, a blind S3D image quality measurement (IQM) method that does not depend on example
Externí odkaz:
https://doaj.org/article/81b9c220a98f4bae8efaea8b6013e7c2
Publikováno v:
Information Fusion. 94:32-42