Table 8 Quantitative results of the GLAS dataset. (bold indicates the best)

From: Visual Mamba UNet fusion multi-scale attention and detail infusion for unsound corn kernels segmentation

Model

year

mIoU

mDSC

Acc

Spe

Sen

Pre

Unet2

2015

0.554

0.754

0.702

0.818

0.711

0.754

UnetV247

2018

0.537

0.732

0.752

0.824

0.689

0.734

Unet++4

2019

0.575

0.751

0.735

0.816

0.714

0.773

Att-Unet54

2018

0.604

0.764

0.786

0.813

0.753

0.813

TransUNet54

2021

0.611

0.801

0.803

0.837

0.768

0.827

TransFuse55

2021

0.814

0.806

0.842

0.864

0.752

0.864

Swin-Unet56

2021

0.822

0.811

0.811

0.886

0.781

0.861

DoubleU-Net37

2020

0.835

0.832

0.852

0.891

0.792

0.887

VMUNet52

2024

0.845

0.865

0.866

0.885

0.813

0.893

VMUNetV253

2024

0.846

0.905

0.879

0.893

0.808

0.905

VMUnet-MSADI

 

0.853

0.919

0.901

0. 892

0.821

0.908