Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Zhenshan BAO"'
Publikováno v:
IET Computer Vision, Vol 16, Iss 1, Pp 67-82 (2022)
Abstract The sustainable development of marine fisheries depends on the accurate measurement of data on fish stocks. Semantic segmentation methods based on deep learning can be applied to automatically obtain segmentation masks of fish in images to o
Externí odkaz:
https://doaj.org/article/5cb3468a537740afae065b1289c24db9
Publikováno v:
IET Computer Vision, Vol 13, Iss 7, Pp 676-681 (2019)
A depth map can be used in many applications such as robotic navigation, driverless, video production and 3D reconstruction. Both passive stereo and time‐of‐flight (ToF) cameras can provide the depth map for the captured real scenes, but they bot
Externí odkaz:
https://doaj.org/article/1d3f0535153f4b46bc60cc4ab8b9ab3d
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 12, Iss 1, p 11 (2022)
FPGA-based accelerators have shown great potential in improving the performance of CNN inference. However, the existing FPGA-based approaches suffer from a low compute unit (CU) efficiency due to their large number of redundant computations, thus lea
Externí odkaz:
https://doaj.org/article/98874492554d42558185bd3da66fb607
Publikováno v:
IEEE Micro. 42:8-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f6cacb1d072914564fd8c8249929aae
https://doi.org/10.1109/mm.2021.3134968
https://doi.org/10.1109/mm.2021.3134968
Publikováno v:
IET Computer Vision, Vol 16, Iss 1, Pp 67-82 (2022)
The sustainable development of marine fisheries depends on the accurate measurement of data on fish stocks. Semantic segmentation methods based on deep learning can be applied to automatically obtain segmentation masks of fish in images to obtain mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cf6a9928ec1ad7e3415d2d8c3150f18
https://doaj.org/article/5cb3468a537740afae065b1289c24db9
https://doaj.org/article/5cb3468a537740afae065b1289c24db9
Publikováno v:
2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7676be706afe188f493a15469253f402
https://doi.org/10.1109/prai55851.2022.9904052
https://doi.org/10.1109/prai55851.2022.9904052
In a large-scale networking scenario with massive distribution of devices, data is independently generated and maintained by multiple domains. In order to solve the problem of isolated data island in multi-domain, this paper designs a multi-domain da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed60ed6a4295f7065911f9ede6c718e3
https://doi.org/10.21203/rs.3.rs-1578830/v2
https://doi.org/10.21203/rs.3.rs-1578830/v2
Publikováno v:
Parallel and Distributed Computing, Applications and Technologies ISBN: 9783030967710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a994c31218f1441803bd6657d948ca6
https://doi.org/10.1007/978-3-030-96772-7_37
https://doi.org/10.1007/978-3-030-96772-7_37
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d9cb1bba75df5f4367dc5310885f3fb
https://doi.org/10.2139/ssrn.4059134
https://doi.org/10.2139/ssrn.4059134
Publikováno v:
Advances in Machine Learning, Data Mining and Computing.
Most existing approaches to named entity recognition (NER) rely on a large amount of highquality annotations or a more complete specific entity lists. However, in practice, it is very expensive to obtain manually annotated data, and the list of entit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::775504f2ef3f73b2885537e43527773c
https://doi.org/10.5121/csit.2021.111427
https://doi.org/10.5121/csit.2021.111427