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Few-shot Segmentation on PASCAL 5i (val)

74.2mIoU (Mean)HDMNet + AENet
39.46448.48257.566.518Apr 5, 2021Oct 21, 2021May 8, 2022Nov 23, 2022Jun 10, 2023Dec 26, 2023Jul 13, 2024

Evaluation results

MethodLinks
HDMNet + AENetBackbone=ResNet50, Shots=5-shot2024.0774.2———————73.977.873.37284.5
SCCAN + AENetBackbone=ResNet50, Shots=5-shot2024.0774.1———————74.276.574.870.684.5
CyCTR + AENetBackbone=ResNet50, Shots=5-shot2024.0772.6———————7376.274.16783
HDMNetBackbone=ResNet-50, Shots=5-shot2023.0371.8———71.376.271.368.5—————
HDMNetBackbone=ResNet50, Shots=5-shot2024.0771.8———————71.376.271.368.5—
MIANetBackbone=ResNet50, Shots=5-shot2024.0771.6———————70.277.47068.882.2
BAMBackbone=ResNet-50, Shots=5-shot2023.0370.9———70.675.170.867.2—————
DACMBackbone=ResNet50, Shots=5-shot2024.0770.9———————72.473.769.168.481.3
BAMBackbone=ResNet50, Shots=5-shot2024.0770.9———————70.675.170.867.282.2
SCCAN + AENetBackbone=VGG16, Shots=5-shot2024.0770.6———————70.875.172.264.281.8
HDMNet + AENetBackbone=ResNet50, Shots=1-shot2024.0770.3———————71.375.968.665.481.2
SCCANBackbone=ResNet50, Shots=5-shot2024.0770.3———————72.374.169.165.681.8
FECANetBackbone=ResNet50, Shots=5-shot2024.0770———————72.97465.267.880.7
SCCAN + AENetBackbone=ResNet50, Shots=1-shot2024.0769.8———————72.275.568.563.180.8
HDMNet + AENetBackbone=VGG16, Shots=5-shot2024.0769.6———————69.174.869.465.182
ABCNetBackbone=ResNet50, Shots=5-shot2024.0769.6———————71.774.265.46780
RiFeNetBackbone=ResNet50, Shots=5-shot2024.0769.6———————7074.769.464.2—
HSNetBackbone=ResNet-50, Shots=5-shot2023.0369.5———70.373.267.467.1—————
HDMNetBackbone=ResNet-50, Shots=1-shot2023.0369.4———7175.468.962.1—————
HDMNetBackbone=ResNet50, Shots=1-shot2024.0769.4———————7175.468.962.1—
HDMNetBackbone=VGG-16, Shots=5-shot2023.0369.3———68.173.171.864—————
SSPBackbone=ResNet-50, Shots=5-shot2023.0369.3———67.572.375.262.1—————
HDMNetBackbone=VGG16, Shots=5-shot2024.0769.3———————68.173.171.864—
CyCTR + AENetBackbone=ResNet50, Shots=1-shot2024.0769———————70.474.469.461.680.2
BAMBackbone=VGG16, Shots=5-shot2024.0768.8———————67.473.170.66481.1
MIANetBackbone=ResNet50, Shots=1-shot2024.0768.7———————68.575.867.563.279.5
DCAMABackbone=ResNet-50, Shots=5-shot2023.0368.5———70.573.963.765.8—————
SCCANBackbone=VGG16, Shots=5-shot2024.0768.4———————67.272.370.563.879.1
BAMBackbone=ResNet-50, Shots=1-shot2023.0367.8———6973.667.661.1—————
BAMBackbone=ResNet50, Shots=1-shot2024.0767.8———————6973.667.661.179.7
CyCTRBackbone=ResNet-50, Shots=5-shot2023.0367.5———69.373.563.863.5—————
FECANetBackbone=ResNet50, Shots=1-shot2024.0767.4———————69.272.362.465.778.7
RiFeNetBackbone=ResNet50, Shots=1-shot2024.0767.1———————68.473.567.159.4—
SCCANBackbone=ResNet50, Shots=1-shot2024.0766.8———————68.372.566.859.877.7
FECANetBackbone=VGG16, Shots=5-shot2024.0766.7———————68.670.866.760.777.6
SCCAN + AENetBackbone=VGG16, Shots=1-shot2024.0766.6———————66.373.368.558.479
HDMNet + AENetBackbone=VGG16, Shots=1-shot2024.0766.1———————64.773.266.460.178.1
ABCNetBackbone=ResNet50, Shots=1-shot2024.0766———————68.873.462.359.576
DACMBackbone=VGG16, Shots=5-shot2024.0765.7———————66.170.665.860.277.8
DACMBackbone=ResNet50, Shots=1-shot2024.0765.7———————66.572.662.261.377.8
CyCTRBackbone=ResNet50, Shots=5-shot2024.0765.6———————71.173.260.557.5—
SD-AANetBackbone=ResNet-50, Shots=5-shot2023.0365.5———65.571.662.562.3—————
HDMNetBackbone=VGG-16, Shots=1-shot2023.0365.1———64.871.467.756.4—————
HDMNetBackbone=VGG16, Shots=1-shot2024.0765.1———————64.871.467.756.4—
SCCANBackbone=VGG16, Shots=1-shot2024.0764.7———————63.370.866.658.277.2
DCAMABackbone=ResNet-50, Shots=1-shot2023.0364.6———67.572.359.659—————
BAMBackbone=VGG16, Shots=1-shot2024.0764.4———————63.270.866.157.577.3
FECANetBackbone=VGG16, Shots=1-shot2024.0764.3———————66.568.963.658.376.2
CyCTRBackbone=ResNet50, Shots=1-shot2024.0764.2———————67.872.85858—
HSNetBackbone=VGG-16, Shots=5-shot2023.0364.1———64.96964.158.6—————
HSNetBackbone=ResNet-50, Shots=1-shot2023.0364———64.370.760.360.5—————
CyCTRBackbone=ResNet-50, Shots=1-shot2023.0364———65.77159.559.7—————
SD-AANetBackbone=ResNet-50, Shots=1-shot2023.0361.9———60.970.858.457.3—————
PFENetBackbone=ResNet-50, Shots=5-shot2023.0361.9———63.170.755.857.9—————
PFENetBackbone=ResNet50, Shots=5-shot2024.0761.9———————63.170.755.857.973.9
DACMBackbone=VGG16, Shots=1-shot2024.0761.8———————61.867.861.456.375.5
SSPBackbone=ResNet-50, Shots=1-shot2023.0361.4———60.567.866.451—————
PFENetBackbone=ResNet50, Multi-scale inference=false2021.0460.8———61.769.555.456.3—————
PFENetBackbone=ResNet-50, Shots=1-shot2023.0360.8———61.769.555.456.3—————
PFENetBackbone=ResNet50, Shots=1-shot2024.0760.8———————61.769.555.456.373.3
PFENetBackbone=ResNet101, Multi-scale inference=false2021.0460.1———60.569.454.455.9—————
HSNetBackbone=VGG-16, Shots=1-shot2023.0359.7———59.665.759.654—————
ASGNetBackbone=ResNet101, Multi-scale inference=false2021.0459.31———59.8467.4355.5954.39—————
ASGNetBackbone=ResNet50, Multi-scale inference=false2021.0459.29———58.8467.8656.7953.66—————
PFENetBackbone=VGG-16, Shots=5-shot2023.0359———5969.154.852.9—————
PFENetBackbone=VGG16, Shots=5-shot2024.0759———————5969.154.852.972.3
DANBackbone=ResNet101, Multi-scale inference=true2021.0458.2———54.768.657.851.6—————
PFENetBackbone=VGG-16, Shots=1-shot2023.0358———56.968.254.452.4—————
PFENetBackbone=VGG16, Shots=1-shot2024.0758———————56.968.254.452.572
SimPropNetBackbone=ResNet50, Multi-scale inference=false2021.0457.19———54.8267.3354.5252.02—————
RPMMsBackbone=ResNet50, Multi-scale inference=false2021.0456.34———55.1566.9152.6150.68—————
FWBBackbone=ResNet101, Multi-scale inference=false2021.0456.19———51.364.4956.7152.24—————
PGNetBackbone=ResNet50, Multi-scale inference=true2021.0456———5666.950.650.4—————
PANetBackbone=VGG-16, Shots=5-shot2023.0355.7———51.864.659.846.5—————
CANetBackbone=ResNet50, Multi-scale inference=true2021.0455.4———52.565.951.351.9—————
FWBBackbone=VGG-16, Multi-scale inference=false2021.0451.9———47.0459.6452.6148.27—————
PPNetBackbone=ResNet50, Multi-scale inference=false2021.0451.5———47.8358.7553.845.63—————
PANetBackbone=VGG-16, Multi-scale inference=false2021.0448.1———42.35851.141.2—————
PANetBackbone=VGG-16, Shots=1-shot2023.0348.1———42.35851.141.2—————
SG-OneBackbone=VGG-16, Multi-scale inference=false2021.0446.3———40.258.448.438.4—————
AMPBackbone=VGG-16, Multi-scale inference=false2021.0443.4———41.950.246.734.4—————
co-FCNBackbone=VGG-16, Multi-scale inference=false2021.0441.1———36.750.644.932.4—————
OSLSMBackbone=VGG-16, Multi-scale inference=false2021.0440.8———33.655.340.933.5—————
Oracle-RePRIBackbone=ResNet502020.12—73.377.978.6—————————
PFENetBackbone=ResNet502020.12—60.861.962.1—————————
RePRIBackbone=ResNet502020.12—59.166.868.2—————————
RPMMBackbone=ResNet502020.12—56.357.357.6—————————