An Attention-Based Improved U-Net Neural Network Model for Semantic Segmentation of Moving Objects
The precise semantic segmentation for moving targets has always been a challenging task in computer vision. The existing methods basically had some limitations in semantic segmentation, such as inability to handle deformation of moving targets, blurred boundaries, and other issues. To address the is...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
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| Acesso em linha: | https://ieeexplore.ieee.org/document/10505293/ |
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