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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發表在:	Jisuanji gongcheng
主要作者:	Mei ZENG, Yihan WANG, Zhiwei LEI, Xueyin LIU, Bailin LI
格式:	Article
語言:	英语
出版:	Editorial Office of Computer Engineering 2024-08-01
主題:	grape occlusion|occlusion prediction|reconstruction network|occlusion synthesis|instance segmentation
在線閱讀:	https://www.ecice06.com/fileup/1000-3428/PDF/68285.pdf