Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Haozheng Su"'
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3544 (2023)
For oriented object detection, the existing CNN-based methods typically rely on a substantial and diverse dataset, which can be expensive to acquire and demonstrate limited capacity for generalization when faced with new categories that lack annotate
Externí odkaz:
https://doaj.org/article/6f971039d03e4b98afdb1dc5e41dc13e
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4435 (2022)
Recent years have witnessed rapid development and remarkable achievements on deep learning object detection in remote sensing (RS) images. The growing improvement of the accuracy is inseparable from the increasingly complex deep convolutional neural
Externí odkaz:
https://doaj.org/article/d5a50d619f194e17a07285a9e02b4bd6
Akademický článek
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Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::753094f9d95c90ad4bb8019e593e490c
https://doi.org/10.1109/igarss46834.2022.9883807
https://doi.org/10.1109/igarss46834.2022.9883807
Autor:
Su, Haozheng1 (AUTHOR) 2017_liusixu@bupt.edu.cn, You, Yanan1 (AUTHOR) youyanan@bupt.edu.cn, Liu, Sixu1 (AUTHOR)
Publikováno v:
Remote Sensing. Jul2023, Vol. 15 Issue 14, p3544. 21p.
Autor:
Liu, Sixu1 (AUTHOR), You, Yanan1 (AUTHOR) youyanan@bupt.edu.cn, Su, Haozheng1 (AUTHOR), Meng, Gang2 (AUTHOR), Yang, Wei3 (AUTHOR), Liu, Fang1 (AUTHOR)
Publikováno v:
Remote Sensing. Sep2022, Vol. 14 Issue 18, pN.PAG-N.PAG. 36p.