Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Liao, Dongliang"'
Currently, in the field of video-text retrieval, there are many transformer-based methods. Most of them usually stack frame features and regrade frames as tokens, then use transformers for video temporal modeling. However, they commonly neglect the i
Externí odkaz:
http://arxiv.org/abs/2406.16111
In addition to relevance, diversity is an important yet less studied performance metric of cross-modal image retrieval systems, which is critical to user experience. Existing solutions for diversity-aware image retrieval either explicitly post-proces
Externí odkaz:
http://arxiv.org/abs/2305.04072
With the recent boom of video-based social platforms (e.g., YouTube and TikTok), video retrieval using sentence queries has become an important demand and attracts increasing research attention. Despite the decent performance, existing text-video ret
Externí odkaz:
http://arxiv.org/abs/2202.03384
Autor:
Zeng, Yawen, Wang, Yiru, Liao, Dongliang, Li, Gongfu, Xu, Jin, Man, Hong, Liu, Bo, Xu, Xiangmin
Publikováno v:
In Expert Systems With Applications 1 March 2024 237 Part B
Autor:
Wang, Yiru, Huang, Shen, Li, Gongfu, Deng, Qiang, Liao, Dongliang, Si, Pengda, Yang, Yujiu, Xu, Jin
The automatic quality assessment of self-media online articles is an urgent and new issue, which is of great value to the online recommendation and search. Different from traditional and well-formed articles, self-media online articles are mainly cre
Externí odkaz:
http://arxiv.org/abs/2008.05658
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Ceramics International 15 December 2022 48(24):36469-36477
Publikováno v:
In Ceramics International 15 April 2022 48(8):11304-11312
Publikováno v:
In Journal of Alloys and Compounds 15 February 2022 894
Publikováno v:
In Ceramics International 15 February 2022 48(4):4545-4553