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Semantic Segmentation on MS COCO 20i

57.8COCO-20^0 Fold ScoreMLC
15.347226.368637.3948.4114Aug 10, 2020Dec 26, 2020May 13, 2021Sep 28, 2021Feb 13, 2022Jul 1, 2022Nov 16, 2022

Evaluation results

MethodLinks
MLCBackbone=ResNet-101, Shots=5-shot2022.1157.847.137.837.6—45.1——
MLCBackbone=ResNet-50, Shots=5-shot2022.1154.942.134.933.6—41.4——
MLCBackbone=ResNet-101, Shots=1-shot2022.1151.138.728.531.6—37.5——
IPRNetBackbone=ResNet-101, Shots=5-shot2022.1150.758.352.851.3—53.3——
MLCBackbone=ResNet-50, Shots=1-shot2022.114836.627.428.2—35.1——
IPRNetBackbone=ResNet-50, Shots=5-shot2022.114855.750.750.1—51.1——
HSNetBackbone=ResNet-101, Shots=5-shot2022.1145.95351.847.1—49.5——
HSNetBackbone=ResNet-50, Shots=5-shot2022.1143.351.348.245—46.9——
IPRNetBackbone=ResNet-101, Shots=1-shot2022.1142.950.646.847.4—46.9——
IPRNetBackbone=ResNet-50, Shots=1-shot2022.1142.248.945.544.6—45.3——
PPNetBackbone=ResNet-50, Shots=5-shot2022.113940.837.137.3—38.5——
PFENetShot=5-shot, Backbone=ResNet101, Multi-scale evaluation=false2021.0638.538.638.234.337.4———
PFENetBackbone=ResNet-101, Shots=5-shot2022.1138.538.638.234.3—37.4——
HSNetBackbone=ResNet-101, Shots=1-shot2022.1137.244.142.441.3—41.2——
PFENetBackbone=ResNet-50, Shots=1-shot2022.1136.538.634.533.8—35.8——
PFENetBackbone=ResNet-50, Shots=5-shot2022.1136.543.337.838.4—39——
HSNetBackbone=ResNet-50, Shots=1-shot2022.1136.343.138.739.2—39.2——
PFENetShot=1-shot, Backbone=ResNet101, Multi-scale evaluation=false2021.0634.33332.330.132.4———
PFENetBackbone=ResNet-101, Shots=1-shot2022.1134.33332.330.1—32.4——
RPMMsSettings=5-shot, Backbone=ResNet502020.0833.8241.9632.9933.330.3552———
RPMMsShot=5-shot, Backbone=ResNet50, Multi-scale evaluation=false2021.0633.8241.9632.9933.3335.52———
ASRShot=5-shot, Backbone=ResNet50, Multi-scale evaluation=true2021.0633.1239.5134.1636.2135.75———
PMMsSettings=5-shot, Backbone=ResNet502020.083340.5530.2933.270.3428———
ASRShot=5-shot, Backbone=ResNet50, Multi-scale evaluation=false2021.0631.2637.8633.4735.2134.35———
ASRShot=1-shot, Backbone=ResNet50, Multi-scale evaluation=true2021.0630.6236.7332.6835.3533.85———
ASRShot=1-shot, Backbone=ResNet50, Multi-scale evaluation=false2021.0629.8934.9831.8633.5132.56———
RPMMsSettings=1-shot, Backbone=ResNet502020.0829.5336.8228.9427.020.3058———
RPMMsShot=1-shot, Backbone=ResNet50, Multi-scale evaluation=false2021.0629.5336.8228.9427.0230.58———
PMMsSettings=1-shot, Backbone=ResNet502020.0829.2834.8127.0827.270.2961———
PPNetBackbone=ResNet-50, Shots=1-shot2022.1128.130.829.527.7—29——
BaselineSettings=5-shot, Backbone=ResNet50, Note=CANet without iterative optimization2020.0825.9532.3826.1126.980.2786———
BaselineSettings=1-shot, Backbone=ResNet50, Note=CANet without iterative optimization2020.0825.0830.2524.4524.670.2611———
DANShot=1-shot, Backbone=ResNet50, Multi-scale evaluation=false2021.0624.4———————
SSTShot=1-shot, Backbone=ResNet50, Multi-scale evaluation=false2021.0622.2———————
FWBSettings=5-shot, Backbone=ResNet1012020.0819.1321.4623.9330.080.2365———
FWBShot=5-shot, Backbone=ResNet101, Multi-scale evaluation=false2021.0619.1321.4623.9330.0823.65———
FWBBackbone=ResNet-101, Shots=5-shot2022.1119.121.523.930.1—23.7——
FWBBackbone=ResNet-101, Shots=1-shot2022.1117182128.9—21.2——
FWBSettings=1-shot, Backbone=ResNet1012020.0816.9817.9820.9628.850.2119———
FWBShot=1-shot, Backbone=ResNet101, Multi-scale evaluation=false2021.0616.9817.9820.9628.8521.19———
CLIP-Deconv (COCO+N)t=0.1, vis. backb.=ViT (CLIP), one-shot protocol=true, negative samples (+N)=10%2021.12—————29.856.840.8
CLIPSeg (COCO)t=0.1, vis. backb.=ViT (CLIP), one-shot protocol=true, negative samples (+N)=false2021.12—————33.258.440.5
CLIPSeg (COCO+N)t=0.1, vis. backb.=ViT (CLIP), one-shot protocol=true, negative samples (+N)=10%2021.12—————33.359.141.7
DANShot=5-shot, Backbone=ResNet50, Multi-scale evaluation=false2021.06————29.6———
HSNetvis. backb.=RN50, one-shot protocol=true2021.12—————39.268.2—
HSNetvis. backb.=RN101, one-shot protocol=true2021.12—————41.269.1—
PANetSettings=1-shot, Backbone=ResNet502020.08————0.209———
PANetSettings=5-shot, Backbone=ResNet502020.08————0.297———
PFENetvis. backb.=RN50, one-shot protocol=true2021.12—————35.8——
PPNetvis. backb.=RN50, one-shot protocol=true2021.12—————29——
RePRIvis. backb.=RN50, one-shot protocol=true2021.12—————34——
SSTShot=5-shot, Backbone=ResNet50, Multi-scale evaluation=false2021.06————31.3———
ViTSeg (COCO)t=0.1, vis. backb.=ViT (IN), one-shot protocol=true, negative samples (+N)=false2021.12—————14.446.115.7