Grape Instance De-Overlapping Occlusion Algorithm Based on Self-Supervised Learning
Conventional random occlusion algorithms used in generating synthetic occluded grape images often lead to data distortion, potentially rendering grape occlusion prediction ineffective. Therefore, this study proposes an occlusion data synthesis method suitable for grape occlusion prediction and furth...
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| Autor principal: | |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Editorial Office of Computer Engineering
2024-08-01
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| Col·lecció: | Jisuanji gongcheng |
| Matèries: | |
| Accés en línia: | https://www.ecice06.com/fileup/1000-3428/PDF/68285.pdf |
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