Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Chunna Tian"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8010-8024 (2022)
A key challenge of infrared small target segmentation (ISTS) is to balance false negative pixels (FNs) and false positive pixels (FPs). Traditional methods combine FNs and FPs into a single objective by weighted sum, and the optimization process is d
Externí odkaz:
https://doaj.org/article/8c86100996b44b408c562de4a4465bf8
Publikováno v:
IEEE Access, Vol 8, Pp 84642-84651 (2020)
In this paper, we propose to boost the cross-modal retrieval through mutually aligning images and captions on the aspects of both features and relationships. First, we propose a multi-feature based visual-semantic embedding (MVSE++) space to retrieve
Externí odkaz:
https://doaj.org/article/45c09b993eb24dc9bf5651f6ce1579c9
Publikováno v:
Applied Sciences, Vol 9, Iss 12, p 2529 (2019)
Hyperspectral image (HSI) restoration is an important task of hyperspectral imagery processing, which aims to improve the performance of the subsequent HSI interpretation and applications. Considering HSI is always influenced by multiple factors—su
Externí odkaz:
https://doaj.org/article/a07d96e3a4fc430385fa1df59ff81ca2
Publikováno v:
Neurocomputing. 507:369-382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5384ee8af17ffcb906c00ec0e5452864
https://doi.org/10.1016/j.neucom.2022.08.039
https://doi.org/10.1016/j.neucom.2022.08.039
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eff77f1ed6a40f57a279ae3559d462e3
https://doi.org/10.1109/lgrs.2022.3179721
https://doi.org/10.1109/lgrs.2022.3179721
Publikováno v:
Neurocomputing. 446:106-117
Automatic segmentation of the brain Magnetic Resonance Imaging (MRI) plays a crucial role in many brain MRI processing algorithms, which is effective for the prevention, detection, monitoring, and treatment planning of brain disease. Currently, deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96142fee39485093dfcbf69f2275755d
https://doi.org/10.1016/j.neucom.2021.03.050
https://doi.org/10.1016/j.neucom.2021.03.050
Publikováno v:
Neurocomputing. 538:126159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df45d2a29ab19c4c0c9bfe18c2f5ed61
https://doi.org/10.1016/j.neucom.2023.03.020
https://doi.org/10.1016/j.neucom.2023.03.020
Publikováno v:
IEEE Access. 8:84642-84651
In this paper, we propose to boost the cross-modal retrieval through mutually aligning images and captions on the aspects of both features and relationships. First, we propose a multi-feature based visual-semantic embedding (MVSE++) space to retrieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7c979e99739ea69c1f2ae3d7ba2f3f9
https://doi.org/10.1109/access.2020.2992187
https://doi.org/10.1109/access.2020.2992187
RGB-Thermal salient object detection (SOD) combines two spectra to segment visually conspicuous regions in images. Most existing methods use boundary maps to learn the sharp boundary. These methods ignore the interactions between isolated boundary pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46056b445c1a2de0afa8590b49b1dfa6
