The State of the Art for Cross-Modal Retrieval: A Survey
Cross-modal retrieval, which aims to search for semantically relevant data across different modalities, has received increasing attention in recent years. Deep learning, with its ability to extract high-level representations from multimodal data, has become a popular approach for cross-modal retriev...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10336787/ |