Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Fanglong Yao"'
Autor:
Xian Sun, Dongshuo Yin, Fei Qin, Hongfeng Yu, Wanxuan Lu, Fanglong Yao, Qibin He, Xingliang Huang, Zhiyuan Yan, Peijin Wang, Chubo Deng, Nayu Liu, Yiran Yang, Wei Liang, Ruiping Wang, Cheng Wang, Naoto Yokoya, Ronny Hänsch, Kun Fu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Dumpsites are hard to locate globally. Here the authors apply deep networks to satellite images to provide an effective and low-cost way to detect dumpsites with the new method saving more than 96.8% of the manual time with a strong sensitivity to du
Externí odkaz:
https://doaj.org/article/62e27f5757914b99adb9643e00d83edd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 812-824 (2023)
The rapid development of remote sensing (RS) technology has produced massive images, which makes it difficult to obtain interpretation results by manual screening. Therefore, researchers began to develop automatic retrieval method of RS images. In re
Externí odkaz:
https://doaj.org/article/106dc7a5ae4a4b3ea7f14077e57090e8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 688-701 (2023)
Cross-modal remote sensing (RS) image retrieval aims to retrieve RS images using other modalities (e.g., text) and vice versa. The relationship between objects in the RS image is complex, i.e., the distribution of multiple types of objects is uneven,
Externí odkaz:
https://doaj.org/article/cf18d510c93c4a7cb472414394f88c23
Autor:
Dongshuo Yin, Hongfeng Yu, Nayu Liu, Fanglong Yao, Qibin He, Jihao Li, Yiran Yang, Shiyao Yan, Xian Sun
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07b8831de9e3d0dd4aca8977b1bbcb38
https://doi.org/10.1109/tits.2023.3265387
https://doi.org/10.1109/tits.2023.3265387
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c945cff2730d5c1746094e52f97be99c
https://doi.org/10.1109/tnnls.2023.3252359
https://doi.org/10.1109/tnnls.2023.3252359
Publikováno v:
IEEE Transactions on Image Processing. 32:1474-1487
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4652c52c45e7912c54230b0e541ad1ae
https://doi.org/10.1109/tip.2023.3245324
https://doi.org/10.1109/tip.2023.3245324
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2288ff285d801e536f8006eedd5b33e
https://doi.org/10.1109/tnnls.2023.3261927
https://doi.org/10.1109/tnnls.2023.3261927
Publikováno v:
IEEE Transactions on Multimedia. 24:3455-3468
The development of social media enables fake news to be expressed in a multi-modal form, which is disseminated on various social platforms and brings harmful social impacts. To handle this challenge, the fake news detection task was proposed to exami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b3bee9add89f6b2abacb8b8c069b0e7
https://doi.org/10.1109/tmm.2021.3098988
https://doi.org/10.1109/tmm.2021.3098988
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d35d47b1f1082426d3bca63c0121886
https://doi.org/10.1109/igarss46834.2022.9884328
https://doi.org/10.1109/igarss46834.2022.9884328
Publikováno v:
Neurocomputing. 433:169-180
Judicial Decision Prediction (JDP) aims to determine judicial decisions per the fact description of a criminal case. It comprises multiple subtasks, i.e., law article prediction, charge prediction, and term of the penalty prediction. Besides, there e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::684a0ce9f1b4185685d5740828ca0b03
https://doi.org/10.1016/j.neucom.2020.10.010
https://doi.org/10.1016/j.neucom.2020.10.010