Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Zongjian Zhang"'
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e74280 (2013)
Methylated seed oil (MSO) is a recommended adjuvant for the newly registered herbicide topramezone in China and also in other countries of the world, but the mechanism of MSO enhancing topramezone efficacy is still not clear. Greenhouse and laborator
Externí odkaz:
https://doaj.org/article/54ee5c52d29b48ab979262e4fb73ff6b
For image captioning, recent works start to focus on exploring visual relationships for generating high-quality interactive words (i.e. verbs and prepositions). However, many existing works only focus on semantic level by analysing the feature simila
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5870bdfcde9b2943d9ae56059a72cf41
https://hdl.handle.net/10453/169149
https://hdl.handle.net/10453/169149
Visual attention mechanism has been widely used by image captioning model in order to dynamically attend to the related visual region based on given language information. Such capability allows a trained model to carry out fine-grained level image un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19417591e393035d144aca2b155a83f9
https://hdl.handle.net/10453/156570
https://hdl.handle.net/10453/156570
Autor:
Ying He, Zongjian Zhang, Ren Ping Liu, Peter Loneragan, Xu Wang, Litao Yu, Wentian Zhang, Nick Paton, Taoping Liu, Eryk Dutkiewicz, Erik Poole, Jian Zhang, Steven W. Su, Guangsheng Yu, Qiang Wu
Accurate assessment of fish quality is difficult in practice due to the lack of trusted fish provenance and quality tracking information. Working with Sydney Fish Market (SFM), we develop a Blockchain-enabled Fish provenance And Quality Tracking (BeF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43383edd521a1db57e26ea49b17c7e2a
https://hdl.handle.net/10453/153591
https://hdl.handle.net/10453/153591
Publikováno v:
VCIP
The digital fish provenance and quality tracking system is essential for the seafood supply chain. As a part of this system, we develop a vision-based fish processing system to automatically perform fish freshness estimation, size measurement and spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f70834632431cbca76952fde51fd2e17
https://hdl.handle.net/10453/145576
https://hdl.handle.net/10453/145576
© 1999-2012 IEEE. The soft-attention mechanism is regarded as one of the representative methods for image captioning. Based on the end-to-end convolutional neural network (CNN)-long short term memory (LSTM) framework, the soft-attention mechanism at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9ee5ded86eb3d0190fb5fc52e3343b9
https://hdl.handle.net/10453/132536
https://hdl.handle.net/10453/132536
Publikováno v:
IJCNN
© 2019 IEEE. Visual attention mechanisms have been broadly used by image captioning models to attend to related visual information dynamically, allowing fine-grained image understanding and reasoning. However, they are only designed to discover the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ca2b9478cc1589b5e6763832a917950
https://hdl.handle.net/10453/139133
https://hdl.handle.net/10453/139133
Publikováno v:
DICTA
© 2018 IEEE. Spatial visual attention mechanisms have achieved significant performance improvements for image captioning. To quantitatively evaluate the performances of attention mechanisms, the 'attention correctness' metric has been proposed to ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72af2d9b17db6609c97dd7fda560d0dc
https://hdl.handle.net/10453/132535
https://hdl.handle.net/10453/132535
Publikováno v:
WACV
© 2018 IEEE. Soft-attention is regarded as one of the representative methods for image captioning. Based on the end-to-end CNN-LSTM framework, it tries to link the relevant visual information on the image with the semantic representation in the text
Publikováno v:
BDVA
This paper presents information visualization methods for revealing relations of multi-attributes in big infrastructure data. The interactive parallel coordinates, sunburst visualization and combinational visualization approaches are used to represen