Efficient cross-modal video retrieval with meta-optimized frames
Cross-modal video retrieval aims to retrieve semantically relevant videos when given a textual query, and is one of the fundamental multimedia tasks. Most top-performing methods primarily leverage Vision Transformer (ViT) to extract video features [1]-[3]. However, they suffer from the high computat...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/9034 https://ink.library.smu.edu.sg/context/sis_research/article/10037/viewcontent/2210.08452v1_sv.pdf |
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| Institution: | Singapore Management University |
| Language: | English |