Understanding Video Transformers: A Review on Key Strategies for Feature Learning and Performance Optimization
The video transformer model, a deep learning tool relying on the self-attention mechanism, is capable of efficiently capturing and processing spatiotemporal information in videos through effective spatiotemporal modeling, thereby enabling deep analysis and precise understanding of video content. It...
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| Main Authors: | Nan Chen, Tie Xu, Mingrui Sun, Chenggui Yao, Dongping Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
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| Series: | Intelligent Computing |
| Online Access: | https://spj.science.org/doi/10.34133/icomputing.0143 |
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