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pro vyhledávání: '"Chen, Shuqin"'
Video captioning aims to generate natural language sentences that describe the given video accurately. Existing methods obtain favorable generation by exploring richer visual representations in encode phase or improving the decoding ability. However,
Externí odkaz:
http://arxiv.org/abs/2211.15076
Publikováno v:
In Journal of Building Engineering 15 October 2024 95
Publikováno v:
In Energy & Buildings 1 December 2024 324
Video captioning is a challenging task that captures different visual parts and describes them in sentences, for it requires visual and linguistic coherence. The attention mechanism in the current video captioning method learns to assign weight to ea
Externí odkaz:
http://arxiv.org/abs/2110.08578
Autor:
Zhang, Ying, Liu, Dongchen, Guo, Dan, Lin, Wenting, Lu, Weiqing, Hu, Lan, Chen, Shuqin, Chen, Chuangzhen
Publikováno v:
In Cancer Letters 1 July 2024 593
Publikováno v:
In AJOG Global Reports May 2024 4(2)
Few-shot learning is a challenging problem that has attracted more and more attention recently since abundant training samples are difficult to obtain in practical applications. Meta-learning has been proposed to address this issue, which focuses on
Externí odkaz:
http://arxiv.org/abs/2007.10778
Autor:
Chen, Shuqin, Huang, Yurui, Hu, Jiamin, Yang, Shichao, Lin, Changqing, Mao, Kai, Rao, Zhiqin, Chen, Yue
Publikováno v:
In Sustainable Cities and Society December 2023 99
Publikováno v:
In Sustainable Cities and Society December 2023 99
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