Visual tracking by matching points using diffusion model
Existing Siamese and Transformer-based trackers commonly approach Visual Object Tracking (VOT) as a one-shot detection problem, where the target object is located in a single forward evaluation. While effective, this approach lacks self-correction mechanisms, making these trackers prone to drifting...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-08-01
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| Colecção: | Alexandria Engineering Journal |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1110016825007914 |
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