List your company

Video Polyp Segmentation on SUN-SEG Hard (Unseen)

89.4S Alpha ScoreYOLO-SAM 2
45.51256.90668.379.694Mar 27, 2022Dec 11, 2022Aug 27, 2023May 13, 2024Jan 27, 2025Oct 13, 2025Jun 30, 2026

Evaluation results

MethodLinks
YOLO-SAM 22024.0989.4——93.290.285.20.941———
SALIMode=Unseen, Backbone=PVTv22024.0687.4—7982.282.28392———
MASTMode=Unseen2024.0686.1—77.781.680.381.191.4———
SLT-NetMode=Unseen2024.0684.4—75.779.578.17690.4———
SLT-Net2024.0984.4——79.578.1760.904———
Temporally Consistent Learning FrameworkModel Type=Image Model, Backbone=ACSNet [29]2026.0681.6—71.975.873.774.10.878———
ARTEMISLabeled Training Data Ratio=1/82026.0680.8—69.4—70.9—83.963.14.6—
DALAModel Type=Video Model2026.0680.8—67.673.573.366.90.84———
SSTANModel Type=Video Model2026.0680.1—68.273.471.867.60.733———
PNS+Supervision Setting=Fully Supervised2026.0679.8—65.4—66.1——57.1579.3
PNS+Category=VIDEO, Publish=OURS22, Code=Link2022.0379.70.79365.370.973.762.3————
PNS+Mode=Unseen2024.0679.7—65.370.973.762.379.3———
PNS+2024.0979.7——70.973.762.30.793———
ARTEMISSupervision Setting=Scribble Supervision2026.0679.6—67.5—68.7——60.94.881.6
CMLLabeled Training Data Ratio=1/82026.0679.3—53.5—67.6—81.257.97.4—
ACSNetModel Type=Image Model2026.0679.3—63.668.470.861.80.787———
ARTEMISLabeled Training Data Ratio=1/162026.0679.2—67.1—68.2—81.460.25—
ColonSegNetModel Type=Image Model2026.0678.9—63.666.268.559.90.77———
SEELabeled Training Data Ratio=1/82026.0678.7—65.8—67.2—8159.35.5—
PraNetSupervision Setting=Fully Supervised2026.0678.7—66.7—67.5——58.75.380.2
2/3DCategory=VIDEO, Publish=MICCAI20, Code=R/T2022.0378.60.77563.468.870.660.7————
2/3DMode=Unseen2024.0678.6—63.468.870.660.777.5———
2/3D2024.0978.6——68.870.660.70.775———
MATCategory=VIDEO, Publish=TIP20, Code=Link2022.0378.50.75557.864.571.257.9————
ACSNetCategory=IMAGE, Publish=MICCAI20, Code=Link2022.0378.30.78763.668.470.861.8————
SEESupervision Setting=Scribble Supervision2026.0678—53—67——579.280.2
AD-MTLabeled Training Data Ratio=1/82026.0677.6—51.7—66.2—8056.59.1—
SEELabeled Training Data Ratio=1/162026.0677.5—55.5—63.1—78.353.96.7—
ST-SAMLabeled Training Data Ratio=1/82026.0677.4—54.1—64—7955.57.2—
MSRF-NetModel Type=Image Model2026.0677.4—63.765.870.160.50.762———
KnowSAMLabeled Training Data Ratio=1/162026.0677.2—51.6—65.8—80.356.87.5—
ARTEMISSupervision Setting=Point Supervision2026.0677—52.7—64.4——55.5878.6
PNSNetCategory=VIDEO, Publish=MICCAI21, Code=Link2022.0376.70.75560.965.667.557.9————
PNS-NetMode=Unseen2024.0676.7—60.965.667.557.975.5———
PNS-Net2024.0976.7——65.667.557.90.755———
PNSSupervision Setting=Fully Supervised2026.0676.7—60.9—61.5——53.9575.5
TransNetRModel Type=Image Model2026.0676.6—62.967.362.859.10.772———
WS-SAMSupervision Setting=Scribble Supervision2026.0676.3—49.5—65.7——56.39.179.7
CauSSLLabeled Training Data Ratio=1/82026.0676.2—47.9—64.9—78.355.610.6—
ST-SAMLabeled Training Data Ratio=1/162026.0676.2—49.3—64.6—78.955.58.7—
AD-MTLabeled Training Data Ratio=1/162026.0675.8—49—65.7—79.356.39.9—
MCFLabeled Training Data Ratio=1/82026.0675.6—48.1—66.5—7956.611.4—
ProMaCSupervision Setting=Scribble Supervision2026.0675.2—50.8—65——56.111.378.5
ProMaCSupervision Setting=Point Supervision2026.0675.2—49.3—63.8——54.11177.6
KnowSAMLabeled Training Data Ratio=1/82026.0674.9—59.6—60.2—74.552.35.7—
CMLLabeled Training Data Ratio=1/162026.0674.7—47.3—64.1—78.254.910—
CauSSLLabeled Training Data Ratio=1/162026.0674.5—45.5—65.1—78.755.610.6—
WeakPolypSupervision Setting=Scribble Supervision2026.0674.5—45.2—64.3——54.41178.2
SEESupervision Setting=Point Supervision2026.0674.2—46.1—63.1——53.611.277
WS-SAMSupervision Setting=Point Supervision2026.0673.7—43.9—63.9——54.511.677.3
SCODSupervision Setting=Scribble Supervision2026.0673.4—42.8—62.9——52.911.377
FSNetCategory=VIDEO, Publish=ICCV21, Code=Link2022.0372.40.69454.161.169.949.1————
SCWSSupervision Setting=Scribble Supervision2026.0672.2—41.9—60.4——50.212.774.7
FLA-NetMode=Unseen2024.0672.1—5459.262.852.270.1———
FLA-Net2024.0972.1——59.262.852.20.701———
FLA-NetModel Type=Video Model2026.0672.1—5459.262.852.20.701———
PraNetCategory=IMAGE, Publish=MICCAI20, Code=Link2022.0371.70.73554.460.759.851.2————
PraNetModel Type=Image Model2026.0671.7—54.460.759.851.20.735———
TELSupervision Setting=Point Supervision2026.0671.5—39.8—61.7——51.813.375.1
GenSAMSupervision Setting=Point Supervision2026.0671.4—39.7—62.4——51.913.176
GenSAMSupervision Setting=Scribble Supervision2026.0671.3—39.4—61.3——5113.375
TELSupervision Setting=Scribble Supervision2026.0671.2—42—59.5——50.31473.5
MTLabeled Training Data Ratio=1/82026.0670.7—40—63.7—74.853.516—
SANetCategory=IMAGE, Publish=MICCAI21, Code=Link2022.0370.60.74352.65859.850.5————
MCFLabeled Training Data Ratio=1/162026.0670.5—40.4—61.6—74.451.914.8—
SCODSupervision Setting=Point Supervision2026.0670.1—37.9—60.2——50.314.673.8
MedNeXtModel Type=Image Model2026.0669.9—52.257.561.150.80.701———
SCWSSupervision Setting=Point Supervision2026.0668.6—35.2—57.7——47.314.971.6
UNet++Category=IMAGE, Publish=TMI18, Code=Link2022.0368.50.6974854.455.446.7————
MTLabeled Training Data Ratio=1/162026.0668.5—34.8—57.9—71.747.415.3—
U-Net++Model Type=Image Model2026.0668.5—4854.455.446.70.697———
PCSACategory=VIDEO, Publish=AAAI20, Code=Link2022.0368.20.6644.25158.441.5————
UNetCategory=IMAGE, Publish=MICCAI15, Code=Link2022.03670.67945.752.754.242.9————
COSNetCategory=VIDEO, Publish=TPAMI19, Code=Link2022.03670.62744.350.660.638————
U-NetModel Type=Image Model2026.0667—45.752.754.242.90.679———
SAM-WSSupervision Setting=Point Supervision2026.0664.8—29.8—56.1——45.619.468.6
SAM-SLabeled Training Data Ratio=1/82026.0661.7—24.4—46.9—60.236.322—
SAM-SLabeled Training Data Ratio=1/162026.0658.5—21.4—41.8—5831.622.9—
SAM-WSSupervision Setting=Scribble Supervision2026.0656.9—20.2—35.2——25.825.152.3
DCFCategory=VIDEO, Publish=ICCV21, Code=Link2022.0351.40.52226.330.331.736.4————
AMDCategory=VIDEO, Publish=NeurIPS21, Code=Link2022.0347.20.52712.814.125.221.3————