A comparison of semantic segmentation performance across five networks, with the top results highlighted in bold.

A comparison of semantic segmentation performance across five networks, with the top results highlighted in bold.

<p>A comparison of semantic segmentation performance across five networks, with the top results highlighted in bold.</p>

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Bibliographic Details
Main Author: Jiajun Liu (692586) (author)
Other Authors: Bei Zhou (5219792) (author), Jie Liu (15128) (author), Xike Zhang (2848757) (author), Jiangshu Wei (22634246) (author), Yao Zhang (134381) (author), Junjie Wu (393541) (author), Changping Wu (52884) (author), Di Hu (12438) (author)
Published: 2025
Subjects:
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
throughput plant phenotyping
plant phenotypic traits
made publicly available
based spatial clustering
semantic segmentation tasks
instance segmentation task
div >< p
canola silique segmentation
counting </ p
segmentation accuracy
precision segmentation
canola siliques
counting accuracy
automatic counting
study proposes
precision agriculture
model complexity
method achieves
excellent balance
efficient solution
crop breeding
contrastive learning
baseline models
achieves 94
accurate analysis
72m parameters
6432 /</
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