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Polyp Segmentation on ColonDB

93.27mDiceMedCAGD
42.757255.871168.98582.0989Feb 16, 2021Jan 8, 2022Dec 1, 2022Oct 24, 2023Sep 15, 2024Aug 8, 2025Jul 1, 2026

Evaluation results

MethodLinks
MedCAGDParams=30.60 M, Flops=05.00 G2026.0793.27——
EMCADParams=26.76 M, Flops=05.60 G2026.0792.31——
DeepLabv3+Params=39.76 M, Flops=14.92 G2026.0791.92——
UCTransNetParams=65.60 M, Flops=56.70 G2026.0791.65——
nnU-NetParams=31.29 M, Flops=55.26 G2026.0791.63——
TransUNetParams=105.32 M, Flops=38.52 G2026.0791.63——
MCADSParams=50.90 M, Flops=61.89 G2026.0791.37——
Swin-UnetParams=27.17 M, Flops=06.20 G2026.0789.27——
PraNetParams=32.55 M, Flops=06.93 G2026.0789.16——
VM-UNetParams=27.43 M, Flops=04.12 G2026.0788.71——
Swin-UMambaParams=60.00 M, Flops=68.00 G2026.0787.97——
UNet++Params=09.16 M, Flops=34.65 G2026.0787.88——
IPS-16PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=16, Prompt Points (Test)=162024.0387.478.9—
AttnUNetParams=34.88 M, Flops=66.64 G2026.0786.46——
Medical SAM3Params=840.0 M, reported_from_paper=true2026.0786.1——
U-NetParams=34.53 M, Flops=65.53 G2026.0783.95——
UNeXtParams=1.470 M, Flops=0.570 G2026.0783.84——
AutoSamParams=41.56 M, Flops=25.11 G, reported_from_paper=true2026.0783——
Adaptively Distilled ControlNetSegmentation Baseline=Polyp-PVT2025.078274.1—
DuATResolution=352x352, Out-of-distribution evaluation=true2022.1281.973.70.026
IPS-5PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=5, Prompt Points (Test)=52024.0381.971.6—
ArSDMSegmentation Baseline=Polyp-PVT2025.0781.773.8—
Polyp-PVTSegmentation Baseline=Polyp-PVT2025.0780.872.7—
Polyp-PVTResolution=352x352, Out-of-distribution evaluation=true2022.1280.872.70.031
BDG-Net2022.0180.472.5—
Copy-PasteSegmentation Baseline=Polyp-PVT2025.0779.871.8—
ControlNetSegmentation Baseline=Polyp-PVT2025.0779.771.4—
T2I-AdapterSegmentation Baseline=Polyp-PVT2025.0779.671.7—
IPS-3P|16PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=3, Prompt Points (Test)=162024.0378.367.8—
TransUnet2021.0278.169.9—
TransFuse-L*model_size=Large, variant=*2021.0278.170.6—
TransUNetResolution=352x352, Out-of-distribution evaluation=true2022.1278.169.90.036
TransFuseResolution=352x352, Out-of-distribution evaluation=true2022.1278.170.60.035
TransUNetTraining Images=1450/25942024.0378.169.9—
Patch-MoE Mamba2026.0577.9469.650.0314
Adaptively Distilled ControlNetSegmentation Baseline=SANet2025.0777.870.4—
Copy-PasteSegmentation Baseline=nnUNet2025.0777.770.2—
Copy-PasteSegmentation Baseline=SANet2025.0777.770—
ArSDMSegmentation Baseline=SANet2025.0777.770—
T2I-AdapterSegmentation Baseline=SANet2025.0777.670.2—
SAM-EGParams(M)=3.72024.0677.468.9—
SinGANSegmentation Baseline=SANet2025.0777.369.4—
TransFuse-Smodel_size=Small2021.0277.369.6—
SETR-PUP2021.0277.369—
CaraNetResolution=352x352, Out-of-distribution evaluation=true2022.1277.368.90.042
nnUNetSegmentation Baseline=nnUNet2025.0777.269.2—
SSformerResolution=352x352, Out-of-distribution evaluation=true2022.1277.269.70.036
SSFormerTraining Images=1450/25942024.0377.269.7—
SinGANSegmentation Baseline=Polyp-PVT2025.0776.969—
M2UNetParams(M)=28.72024.0676.768.4—
VM-UNetV22026.0576.6268.640.0336
U-Net v22026.0576.23690.0336
Adaptively Distilled ControlNetSegmentation Baseline=nnUNet2025.0776.268.8—
ControlNetSegmentation Baseline=SANet2025.0776.268.2—
IPS-3P|5PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=3, Prompt Points (Test)=52024.0376.165.5—
KDASParams(M)=3.72023.1275.967.9—
T2I-AdapterSegmentation Baseline=nnUNet2025.0775.568.9—
MSNetParams(M)=29.72023.1275.567.8—
MSNetParams(M)=29.72024.0675.567.8—
VM-UNet2026.0575.467.80.0356
ArSDMSegmentation Baseline=nnUNet2025.0775.368—
SANetSegmentation Baseline=SANet2025.0775.367—
TransFuse-Lmodel_size=Large2021.0274.467.6—
ControlNetSegmentation Baseline=nnUNet2025.0773.666—
HarDNet-MSEG2021.0273.166—
HarDNet-CPS2023.1272.965.8—
HarDNet-CPSParams(M)=33.32024.0672.965.8—
IPS-3PTrainable Parameters=1.3M, Training Images=1450/2594, Prompt Points (Train)=3, Prompt Points (Test)=32024.0372.461.8—
SinGANSegmentation Baseline=nnUNet2025.0771.765.7—
PraNetResolution=352x352, Out-of-distribution evaluation=true2022.1271.2640.043
PraNetParams(M)=32.62023.1271.264—
PraNetParams(M)=32.62024.0671.264—
PraNetTraining Images=1450/25942024.0371.264—
PEFNetParams(M)=28.02023.127163.8—
PEFNetParams(M)=28.02024.067163.8—
PraNet2021.0270.964—
PraNet2022.0170.964—
Med2D-3PTrainable Parameters=184.5M, Training Images=5838/7935, Prompt Points=32024.0368.958.8—
Med2D-5PTrainable Parameters=184.5M, Training Images=5838/7935, Prompt Points=52024.0368.657.6—
Med2D-16PTrainable Parameters=184.5M, Training Images=5838/7935, Prompt Points=162024.0368.557.5—
U-Net2026.0562.4853.990.0488
SAM-5PPrompt Points=52024.0356.948.2—
SAM-16PPrompt Points=162024.0354.846.7—
UNetParams(M)=7.62023.1251.944.9—
UNetParams(M)=7.62024.0651.944.9—
U-Net2021.0251.244.4—
U-Net2022.0151.244.4—
U-NetResolution=352x352, Out-of-distribution evaluation=true2022.1251.244.40.061
U-netTraining Images=1450/25942024.0351.244.4—
U-Net++2021.0248.341—
U-Net++2022.0148.341—
UNet++Resolution=352x352, Out-of-distribution evaluation=true2022.1248.3410.064
UNet++Params(M)=9.02023.1248.341—
UNet++Params(M)=9.02024.0648.341—
SFA2022.0146.934.7—
SAM-3PPrompt Points=32024.0344.735.6—