Sparse Transformer-Based Sequence Generation for Visual Object Tracking
In visual object tracking, attention mechanisms can flexibly and efficiently handle complex dependencies and global information, which improves tracking accuracy. However, when dealing with scenarios that contain a large amount of background information or other complex information, its global atten...
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| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2024-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/10720760/ |
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