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Learning Soft Mask Based Feature Fusion with Channel and Spatial Attention for Robust Visual Object Tracking
We propose to improve the visual object tracking by introducing a soft mask based low-level feature fusion technique. The proposed technique is further strengthened by integrating channel and spatial attention mechanisms. The proposed approach is integrated within a Siamese framework to demonstrate...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412361/ https://www.ncbi.nlm.nih.gov/pubmed/32698339 http://dx.doi.org/10.3390/s20144021 |