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KAN-GLNet: An enhanced PointNet++ model for canola silique segmentation and counting

Fig 5

The overall architecture of KGL-PointNet and its core components.

(A) The complete network structure of KGL-PointNet. (B) The multi-scale feature enhancement module, GLS Attention. (C) The feedforward network based on partial convolution, PCFN.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0336622.g005