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Few-shot Semantic Segmentation on PASCAL-5^i (test)

86.9FB-IoUPGMA-Net
72.3476.1279.983.68Aug 4, 2020Feb 4, 2021Aug 7, 2021Feb 8, 2022Aug 11, 2022Feb 11, 2023Aug 15, 2023

Evaluation results

MethodLinks
PGMA-NetPretrain=CLIP, Backbone=RN101, Shot=5-shot2023.0886.977.782.776.97778.6——————————
PGMA-NetPretrain=CLIP, Backbone=RN101, Shot=1-shot2023.0886.276.882.375.775.777.6——————————
PGMA-NetPretrain=CLIP, Backbone=RN50, Shot=5-shot2023.0884.27481.571.973.375.2——————————
PGMA-NetPretrain=CLIP, Backbone=RN50, Shot=1-shot2023.0883.573.480.870.571.774.1——————————
VATBackbone network=ResNet101, Shot=5-shot, # learnable params=3.3M2022.0783.27575.268.469.57254.8—————————
DACM (VAT)Backbone=ResNet-101, Evaluation Protocol=5-shot, #Learnable Params=3.4M2022.0783.174.276.471.171.673.3——————————
MIANetBackbone=VGG16, Shots=5-shot2023.0582.69———————————————
PGMA-NetPretrain=CLIP, Backbone=ViT-B/16, Shot=5-shot2023.0882.574.582.267.274.474.6——————————
MIANetBackbone=ResNet50, Shots=5-shot2023.0582.2———————————————
BAMBackbone=ResNet50, Shots=5-shot2023.0582.18———————————————
PGMA-NetPretrain=CLIP, Backbone=ViT-B/16, Shot=1-shot2023.0882.17481.966.873.774.1——————————
VATBackbone=ResNet-101, Evaluation Protocol=5-shot, #Learnable Params=3.3M2022.078273.375.268.469.571.6——————————
DACM (VAT)Backbone=ResNet-50, Evaluation Protocol=5-shot, #Learnable Params=3.3M2022.0781.773.874.770.368.171.7——————————
DACMBackbone=ResNet-101, Evaluation Protocol=5-shot, #Learnable Params=3.1M2022.0781.572.775.368.369.271.4——————————
DACMBackbone=ResNet-50, Evaluation Protocol=5-shot, #Learnable Params=3.0M2022.0781.372.473.769.168.470.9——————————
BAMBackbone=ResNet50, Shots=1-shot2023.0581.1———————————————
HPAPretrain=IN1K, Backbone=RN50, Shot=5-shot2023.0881.170.573.368.463.468.9——————————
VATBackbone=ResNet-50, Evaluation Protocol=5-shot, #Learnable Params=3.2M2022.0780.972.473.668.665.770——————————
VATBackbone network=ResNet50, Shot=5-shot, # learnable params=3.2M2022.0780.972.473.668.665.770.154.8—————————
DCAMAPretrain=IN1K, Backbone=RN101, Shot=5-shot2023.0880.870.773.766.861.968.3——————————
ABCNetPretrain=IN1K, Backbone=RN101, Shot=5-shot2023.0880.871.47568.263.169.4——————————
DPCNBackbone=ResNet50, Shots=5-shot2023.0580.7———————————————
DPCNPretrain=IN1K, Backbone=RN50, Shot=5-shot2023.0880.77073.270.965.569.9——————————
FECANetPretrain=IN1K, Backbone=RN50, Shot=5-shot2023.0880.772.97465.267.870——————————
HSNetBackbone=ResNet-50, Evaluation Protocol=5-shot, #Learnable Params=2.6M2022.0780.670.373.267.467.169.5——————————
HSNetBackbone=ResNet-101, Evaluation Protocol=5-shot, #Learnable Params=2.6M2022.0780.671.874.46768.370.4——————————
HSNetBackbone network=ResNet50, Shot=5-shot, # learnable params=2.6M2022.0780.670.373.267.467.169.554.5—————————
HSNetBackbone network=ResNet101, Shot=5-shot, # learnable params=2.6M2022.0780.671.874.46768.370.454.4—————————
HSNetBackbone=ResNet50, Shots=5-shot2023.0580.6———————————————
HSNetPretrain=IN1K, Backbone=RN50, Shot=5-shot2023.0880.670.373.267.467.169.5——————————
HSNetPretrain=IN1K, Backbone=RN101, Shot=5-shot2023.0880.671.874.46768.370.4——————————
HPAPretrain=IN1K, Backbone=RN101, Shot=5-shot2023.0880.46874.665.967.168.9——————————
ABCNetPretrain=IN1K, Backbone=RN50, Shot=5-shot2023.088071.774.265.46769.6——————————
PGMA-NetBackbone=RN50, Using CLIP=yes, Evaluation Protocol=retrain for ZSS2023.0880————70.6—————68.278.868.866.5—
BAMBackbone=VGG16, Shots=5-shot2023.0579.71———————————————
VATBackbone network=ResNet101, Shot=1-shot, # learnable params=3.3M2022.0779.67072.564.864.267.954.7—————————
MIANetBackbone=ResNet50, Shots=1-shot2023.0579.54———————————————
DCAMAPretrain=IN1K, Backbone=RN50, Shot=5-shot2023.0879.570.5—63.765.868.5——————————
DACM (VAT)Backbone=ResNet-101, Evaluation Protocol=1-shot, #Learnable Params=3.4M2022.0779.469.974.166.26669.1——————————
MIANetBackbone=VGG16, Shots=1-shot2023.0579.22———————————————
DACMBackbone=ResNet-101, Evaluation Protocol=1-shot, #Learnable Params=3.1M2022.0778.968.773.563.464.267.5——————————
VATBackbone=ResNet-101, Evaluation Protocol=1-shot, #Learnable Params=3.3M2022.0778.868.472.564.864.267.5——————————
FECANetPretrain=IN1K, Backbone=RN50, Shot=1-shot2023.0878.769.272.362.465.767.4——————————
DACM (VAT)Backbone=ResNet-50, Evaluation Protocol=1-shot, #Learnable Params=3.3M2022.0778.668.473.163.562.266.8——————————
ABCNetPretrain=IN1K, Backbone=RN101, Shot=1-shot2023.0878.565.372.96559.365.6——————————
NTRENetBackbone=ResNet50, Shots=5-shot2023.0578.4———————————————
DPCNBackbone=ResNet50, Shots=1-shot2023.0578———————————————
DPCNPretrain=IN1K, Backbone=RN50, Shot=1-shot2023.087865.771.669.160.666.7——————————
DACMBackbone=VGG-16, Evaluation Protocol=5-shot, #Learnable Params=3.0M2022.0777.866.170.665.860.265.7——————————
DACMBackbone=ResNet-50, Evaluation Protocol=1-shot, #Learnable Params=3.0M2022.0777.866.572.662.261.365.7——————————
VATBackbone network=ResNet50, Shot=1-shot, # learnable params=3.2M2022.0777.867.67262.360.165.554.4—————————
HSNetBackbone=ResNet-101, Evaluation Protocol=1-shot, #Learnable Params=2.6M2022.0777.667.372.36263.166.2——————————
HSNetBackbone network=ResNet101, Shot=1-shot, # learnable params=2.6M2022.0777.667.372.36263.166.253.9—————————
HSNetPretrain=IN1K, Backbone=RN101, Shot=1-shot2023.0877.667.372.36263.166.2——————————
DCAMAPretrain=IN1K, Backbone=RN101, Shot=1-shot2023.0877.665.471.463.258.364.6——————————
PPNetBackbone=ResNet-101, Evaluation Protocol=5-shot, #Learnable Params=50.5M2022.0777.560.37069.460.765.1——————————
PPNetPretrain=IN1K, Backbone=RN101, Shot=5-shot2023.0877.560.37069.460.765.1——————————
VATBackbone=ResNet-50, Evaluation Protocol=1-shot, #Learnable Params=3.2M2022.0777.467.671.262.360.165.3——————————
BAMBackbone=VGG16, Shots=1-shot2023.0577.26———————————————
DPCNBackbone=VGG16, Shots=5-shot2023.0577.2———————————————
NTRENetBackbone=ResNet50, Shots=1-shot2023.0577———————————————
HSNetBackbone=ResNet-50, Evaluation Protocol=1-shot, #Learnable Params=2.6M2022.0776.764.370.760.360.564——————————
HSNetBackbone network=ResNet50, Shot=1-shot, # learnable params=2.6M2022.0776.764.370.760.360.56453.9—————————
HSNetBackbone=ResNet50, Shots=1-shot2023.0576.7———————————————
HSNetPretrain=IN1K, Backbone=RN50, Shot=1-shot2023.0876.764.370.760.360.564——————————
HSNetBackbone=VGG-16, Evaluation Protocol=5-shot, #Learnable Params=2.6M2022.0776.664.96964.158.664.1——————————
HSNetBackbone=VGG16, Shots=5-shot2023.0576.6———————————————
HPAPretrain=IN1K, Backbone=RN101, Shot=1-shot2023.0876.666.472.764.159.465.6——————————
HPAPretrain=IN1K, Backbone=RN50, Shot=1-shot2023.0876.465.97264.756.864.8——————————
ABCNetPretrain=IN1K, Backbone=RN50, Shot=1-shot2023.087668.873.462.359.566——————————
PPNetBackbone=ResNet-50, Evaluation Protocol=5-shot, #Learnable Params=31.5M2022.0775.858.968.366.85863——————————
PPNetPretrain=IN1K, Backbone=RN50, Shot=5-shot2023.0875.858.968.366.85863——————————
DCAMAPretrain=IN1K, Backbone=RN50, Shot=1-shot2023.0875.767.572.359.65964.6——————————
DACMBackbone=VGG-16, Evaluation Protocol=1-shot, #Learnable Params=3.0M2022.0775.561.867.861.456.361.8——————————
CyCTRBackbone network=ResNet101, Shot=5-shot2022.0775.4717558.56567.4——————————
ASGNetBackbone network=ResNet101, Shot=5-shot, # learnable params=10.4M2022.0775.264.671.364.257.364.4——————————
CyCTRBackbone=ResNet-101, Evaluation Protocol=5-shot2022.077573.57458.660.266.6——————————
ASGNetBackbone network=ResNet50, Shot=5-shot, # learnable params=10.4M2022.0774.263.470.664.257.463.9——————————
NTRENetBackbone=VGG16, Shots=5-shot2023.0574.2———————————————
PFENetBackbone=ResNet-50, Shots=5-shot, Params=10.8M2020.0873.9———————————————
PFENetBackbone=ResNet-50, Evaluation Protocol=5-shot, #Learnable Params=10.8M2022.0773.963.170.755.857.961.9——————————
PFENetBackbone network=ResNet50, Shot=5-shot, # learnable params=10.8M2022.0773.963.170.755.857.961.9——————————
PFENetBackbone=ResNet50, Shots=5-shot2023.0573.9———————————————
PFENetPretrain=IN1K, Backbone=RN50, Shot=5-shot2023.0873.963.170.755.857.961.9——————————
DPCNBackbone=VGG16, Shots=1-shot2023.0573.7———————————————
PFENetBackbone=ResNet-101, Shots=5-shot, Params=10.8M2020.0873.5———————————————
PFENetBackbone=ResNet-101, Evaluation Protocol=5-shot, #Learnable Params=10.8M2022.0773.562.870.454.957.661.4——————————
PFENetBackbone network=ResNet101, Shot=5-shot, # learnable params=10.8M2022.0773.562.870.454.957.661.4——————————
PFENetPretrain=IN1K, Backbone=RN101, Shot=5-shot2023.0873.562.870.454.957.661.4——————————
HSNetBackbone=VGG-16, Evaluation Protocol=1-shot, #Learnable Params=2.6M2022.0773.459.665.759.65459.7——————————
HSNetBackbone=VGG16, Shots=1-shot2023.0573.4———————————————
PFENetBackbone=ResNet-50, Shots=1-shot, Params=10.8M2020.0873.3———————————————
PFENetBackbone=ResNet-50, Evaluation Protocol=1-shot, #Learnable Params=10.8M2022.0773.361.769.555.456.360.8——————————
PFENetBackbone network=ResNet50, Shot=1-shot, # learnable params=10.8M2022.0773.361.769.555.456.360.8——————————
PFENetBackbone=ResNet50, Shots=1-shot2023.0573.3———————————————
PFENetPretrain=IN1K, Backbone=RN50, Shot=1-shot2023.0873.361.769.555.456.360.8——————————
NTRENetBackbone=VGG16, Shots=1-shot2023.0573.1———————————————
CyCTRBackbone network=ResNet101, Shot=1-shot2022.077367.271.157.65963.7——————————
PFENetBackbone=ResNet-101, Shots=1-shot, Params=10.8M2020.0872.9———————————————
PFENetBackbone=ResNet-101, Evaluation Protocol=1-shot, #Learnable Params=10.8M2022.0772.960.569.454.455.960.1——————————