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Few-shot segmentation on COCO 20^i (val)

61.8Mean ScorePGMA-Net
27.68836.54445.454.256Jul 22, 2022Sep 24, 2022Nov 28, 2022Feb 1, 2023Apr 7, 2023Jun 11, 2023Aug 15, 2023

Evaluation results

MethodLinks
PGMA-NetPretrain=CLIP, Backbone=RN101, Shots=5-shot2023.0861.855.965.963.461.979.4—
PGMA-NetPretrain=CLIP, Backbone=RN101, Shots=1-shot2023.0859.455.262.760.359.478.5—
PGMA-NetPretrain=CLIP, Backbone=RN50, Shots=5-shot2023.0857.149.561.759.157.976.7—
PGMA-NetPretrain=CLIP, Backbone=RN50, Shots=1-shot2023.0854.349.956.755.854.775.8—
HPAPretrain=IN1K, Backbone=RN101, Shots=5-shot2023.0852.449.257.85250.674—
DCAMAPretrain=IN1K, Backbone=RN101, Shots=5-shot2023.0851.9485854.347.173.3—
SSPPretrain=IN1K, Backbone=RN101, Shots=5-shot2023.0850.247.454.550.449.6——
HPAPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.085045.555.448.950.271.2—
DPCNPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0849.84654.950.847.467.4—
HSNetPretrain=IN1K, Backbone=RN101, Shots=5-shot2023.0849.545.95351.847.172.4—
ABCNetPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0849.145.551.752.646.472.7—
DCAMAPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0848.345.950.550.74671.7—
VATBackbone=ResNet50, Shot=5-shot2022.0747.944.151.150.246.172.454.9
FECANetPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0847.644.651.548.445.871.1—
HSNetBackbone=ResNet50, Shot=5-shot2022.0746.943.351.348.24570.753.8
HSNetPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0846.943.351.348.24570.7—
HPAPretrain=IN1K, Backbone=RN101, Shots=1-shot2023.0845.843.15044.845.268.4—
CyCTRBackbone=ResNet50, Shot=5-shot2022.0745.641.148.945.247——
SSPPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0844.140.64745.143.9——
ABCNetPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0844.142.346.2464269.9—
DCAMAPretrain=IN1K, Backbone=RN101, Shots=1-shot2023.0843.541.546.245.241.169.9—
HPAPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0843.440.346.644.142.768.2—
DCAMAPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0843.341.945.144.441.769.5—
DPCNPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0843424743.239.763.2—
PFENetPretrain=IN1K, Backbone=RN101, Shots=5-shot2023.0842.740.446.843.240.565.8—
ASGNetBackbone=ResNet50, Shot=5-shot2022.0742.5————67—
SSPPretrain=IN1K, Backbone=RN101, Shots=1-shot2023.084239.145.142.741.2——
RePRIBackbone=ResNet50, Shot=5-shot2022.0741.639.345.439.741.8—4.21
RePRIPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0841.639.345.439.741.8——
FECANetPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0841.638.544.642.640.769.6—
VATBackbone=ResNet50, Shot=1-shot2022.0741.33943.842.639.768.854.2
HSNetPretrain=IN1K, Backbone=RN101, Shots=1-shot2023.0841.237.244.142.441.369.1—
CyCTRBackbone=ResNet50, Shot=1-shot2022.0740.338.94339.639.8——
NTRENetPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0840.338.244.140.438.469.2—
NTRENetPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0839.336.842.639.937.968.5—
HSNetBackbone=ResNet50, Shot=1-shot2022.0739.236.343.138.738.768.253
HSNetPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0839.236.343.138.738.768.2—
PFENetBackbone=ResNet50, Shot=5-shot2022.073936.543.337.838.4——
PFENetPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.083936.543.337.838.4——
RPMG-FSSPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0838.838.341.439.635.9——
PPNetPretrain=IN1K, Backbone=RN50, Shots=5-shot2023.0838.53940.837.137.3——
PFENetPretrain=IN1K, Backbone=RN101, Shots=1-shot2023.0838.536.841.838.736.763—
SSPPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0837.435.539.637.936.7——
PFENetBackbone=ResNet50, Shot=1-shot2022.0735.836.538.634.533.8——
PFENetPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0835.836.538.634.533.8——
RPMMBackbone=ResNet50, Shot=5-shot2022.0735.533.8423333.3——
ASGNetBackbone=ResNet50, Shot=1-shot2022.0734.6————60.4—
PMMBackbone=ResNet50, Shot=5-shot2022.0734.33340.630.333.3——
RePRIBackbone=ResNet50, Shot=1-shot2022.0734.13238.732.733.1—6.31
RePRIPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.0834.13238.732.733.1——
CLIPSeg(COCO+N)Pretrain=CLIP, Backbone=ViT-B/16, Shots=1-shot2023.0833.3——————
CLIPSeg(COCO)Pretrain=CLIP, Backbone=ViT-B/16, Shots=1-shot2023.0833.2——————
RPMMBackbone=ResNet50, Shot=1-shot2022.0730.629.536.828.927——
PMMBackbone=ResNet50, Shot=1-shot2022.0729.629.334.827.127.3——
PPNetPretrain=IN1K, Backbone=RN50, Shots=1-shot2023.082928.130.829.527.7——