The design of IGCT Gate-Unit equipped in the three-level NPC converter

Author(s):  
Luyao Xie ◽  
Xinmin Jin ◽  
Yibin Tong
Keyword(s):  
1980 ◽  
Vol 14 (6) ◽  
pp. 556-560
Author(s):  
F. I. Gurtovnik ◽  
S. V. Shutenkov ◽  
A. K. Mel'nikov

1974 ◽  
Vol 121 (3) ◽  
pp. 567-572 ◽  
Author(s):  
G.E. O'Brien ◽  
K.R. Baker ◽  
R.W. Fink

Author(s):  
Yuzhao Mao ◽  
Chang Zhou ◽  
Xiaojie Wang ◽  
Ruifan Li

Image captioning aims to generate textual descriptions for images. Most previous work generates a single-sentence description for each image. However, a picture is worth a thousand words. Single-sentence can hardly give a complete view of an image even by humans. In this paper, we propose a novel Topic-Oriented Multi-Sentence (\emph{TOMS}) captioning model, which can generate multiple topic-oriented sentences to describe an image. Different from object instances or attributes, topics mined by the latent Dirichlet allocation reflect hidden thematic structures in reference sentences of an image. In our model, each topic is integrated to a caption generator with a Fusion Gate Unit (FGU) to guide the generation of a sentence towards a certain topic perspective. With multiple sentences from different topics, our \emph{TOMS} provides a complete description of an image. Experimental results on both sentence and paragraph datasets demonstrate the effectiveness of our \emph{TOMS} in terms of topical consistency and descriptive completeness.


Author(s):  
Jianxu Li ◽  
Xianjin Huang ◽  
Liwei Zhang ◽  
Trillion Q. Zheng

1971 ◽  
Vol 10 (11) ◽  
pp. 1604-1612 ◽  
Author(s):  
Minoru Adachi ◽  
Manabu Fujioka ◽  
Hiroshi Taketani ◽  
Kazuo Hisatake ◽  
Hiroo Okuhara

Author(s):  
H. Zeng ◽  
D. Yang ◽  
X. Pan ◽  
Y. Chen ◽  
F. Chen ◽  
...  
Keyword(s):  

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