| Title | Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline |
| Author | |
| DOI | |
| Publication Years | 2023
|
| ISSN | 1063-6919
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| ISBN | 979-8-3503-0130-4
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| Source Title | |
| Pages | 22942-22951
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| Conference Date | 17-24 June 2023
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| Conference Place | Vancouver, BC, Canada
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| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Indexed By | |
| WOS Accession No | WOS:001062531307026
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10205028 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559187 |
| Affiliation | 1.Southern University of Science and Technology 2.University of Birmingham 3.Shandong University |
| First Author Affilication | Southern University of Science and Technology |
| First Author's First Affilication | Southern University of Science and Technology |
| Recommended Citation GB/T 7714 |
Tiantian Geng,Teng Wang,Jinming Duan,et al. Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline[C],2023:22942-22951.
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| Files in This Item: | There are no files associated with this item. | |||||
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