Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kanghui Zhao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5527-5540 (2024)
Most of the existing remote sensing image super-resolution (SR) methods based on deep learning tend to learn the mapping from low-resolution (LR) images to high-resolution (HR) images directly. But they ignore the potential structure and texture cons
Externí odkaz:
https://doaj.org/article/f3d1d48d483146d1ab622993307cdb6b
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 13, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/8b4732d4729242e5b17ad82bb538ccdc
Publikováno v:
Sensors, Vol 23, Iss 14, p 6399 (2023)
The casting process involves pouring molten metal into a mold cavity. Currently, traditional object detection algorithms exhibit a low accuracy and are rarely used. An object detection model based on deep learning requires a large amount of memory an
Externí odkaz:
https://doaj.org/article/7b6c86fe87124e3c97933cdc8b9cb232
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :92-96
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44d34caade0d05298af6e7998a1ce668
https://doi.org/10.1587/transfun.2022eal2039
https://doi.org/10.1587/transfun.2022eal2039
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :748-752
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea7eaa3871b4817a928439642df9cc1c
https://doi.org/10.1587/transfun.2021eal2056
https://doi.org/10.1587/transfun.2021eal2056
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48702c0bf46c0eeaf588b88763c3de74
https://doi.org/10.1109/lgrs.2022.3206348
https://doi.org/10.1109/lgrs.2022.3206348
Publikováno v:
CRC
Single image dehazing is a classical and challenging problem in computer vision. However, existing GAN-based methods focus on designing more complex network to achieve better performance, which makes it difficult to converge stably during training in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a35154cce96f4dd80e8dfbd00ec228a8
https://doi.org/10.1109/crc51253.2020.9253448
https://doi.org/10.1109/crc51253.2020.9253448