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CF-SAM: An Efficient and Precise SAM Model for Instance Segmentation of Cotton Top Leaves

The complexity of field environments poses significant challenges for the segmentation of cotton top leaves, a critical step for apical bud localization in intelligent topping systems. Conventional segmentation models typically rely on large annotated datasets and high computational costs to achieve...

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Principais autores: Yanliang Mao, Kubwimana Olivier, Guangzhi Niu, Liping Chen
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-12-01
Serier:Agronomy
Fag:
cotton plant apical bud
adaptive prompting
SAM
instance segmentation
LoRA
Online adgang:https://www.mdpi.com/2073-4395/16/1/30
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