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Semantic Segmentation on PASCAL-5^i (val)

71.2Mean mIoUQCLNet
16.18430.46744.7559.033May 12, 2023May 30, 2023Jun 18, 2023Jul 6, 2023Jul 25, 2023Aug 12, 2023Aug 31, 2023

Evaluation results

MethodLinks
QCLNetBackbone=ResNet-101, Shot=5-shot, # learnable params=2.6M2023.0571.272.574.868.568.9
HSNetBackbone=ResNet-101, Shot=5-shot, # learnable params=2.6M2023.0570.471.874.46768.3
HSNetBackbone=ResNet-50, Shot=5-shot, # learnable params=2.6M2023.0569.570.373.267.467.1
QCLNetBackbone=ResNet-50, Shot=5-shot, # learnable params=2.6M2023.0569.570.673.566.767.1
CAPLBackbone=ResNet-101, Shot=5-shot2023.0568.9————
CAPLBackbone=ResNet-50, Shot=5-shot2023.0567.1————
QCLNetBackbone=ResNet-101, Shot=1-shot, # learnable params=2.6M2023.056767.972.564.363.4
HSNetBackbone=ResNet-101, Shot=1-shot, # learnable params=2.6M2023.0566.267.372.36263.1
ASGNetBackbone=ResNet-101, Shot=5-shot, # learnable params=10.4M2023.0564.464.671.364.257.3
QCLNetBackbone=ResNet-50, Shot=1-shot, # learnable params=2.6M2023.0564.365.270.360.861
QCLNetBackbone=VGG-16, Shot=5-shot, # learnable params=2.6M2023.0564.266.168.563.258.8
HSNetBackbone=VGG-16, Shot=5-shot, # learnable params=2.6M2023.0564.164.96964.158.6
HSNetBackbone=ResNet-50, Shot=1-shot, # learnable params=2.6M2023.056464.370.760.360.5
ASGNetBackbone=ResNet-50, Shot=5-shot, # learnable params=10.4M2023.0563.963.770.664.257.4
CAPLBackbone=ResNet-101, Shot=1-shot2023.0563.6————
SAGNNBackbone=ResNet-50, Shot=5-shot2023.0562.864.9705759.3
CAPLBackbone=ResNet-50, Shot=1-shot2023.0562.2————
SAGNNBackbone=ResNet-50, Shot=1-shot2023.0562.164.769.65757.2
PPNetBackbone=ResNet-50, Shot=5-shot, # learnable params=31.5M2023.056258.467.864.956.7
PFENetBackbone=ResNet-50, Shot=5-shot, # learnable params=10.8M2023.0561.963.170.755.857.9
PFENetBackbone=ResNet-101, Shot=5-shot, # learnable params=10.8M2023.0561.462.870.454.957.6
PFENetBackbone=ResNet-50, Shot=1-shot, # learnable params=10.8M2023.0560.861.769.555.456.3
QCLNetBackbone=VGG-16, Shot=1-shot, # learnable params=2.6M2023.0560.661.366.858.455.8
PFENetBackbone=ResNet-101, Shot=1-shot, # learnable params=10.8M2023.0560.160.569.454.455.9
FWBBackbone=ResNet-101, Shot=5-shot, # learnable params=43.0M2023.0559.954.867.462.255.3
HSNetBackbone=VGG-16, Shot=1-shot, # learnable params=2.6M2023.0559.759.665.759.654
ASGNetBackbone=ResNet-50, Shot=1-shot, # learnable params=10.4M2023.0559.358.867.956.853.7
ASGNetBackbone=ResNet-101, Shot=1-shot, # learnable params=10.4M2023.0559.359.867.455.654.4
CANetBackbone=ResNet-50, Shot=5-shot, # learnable params=19.0M2023.0557.155.567.851.953.2
AttrSegSettings=attr (hrchy), Backbone=ViT-L2023.0856.461.567.546.150.5
FWBBackbone=ResNet-101, Shot=1-shot, # learnable params=43.0M2023.0556.251.364.556.752.2
PANetBackbone=VGG-16, Shot=5-shot, # learnable params=14.7M2023.0555.751.864.659.846.5
CANetBackbone=ResNet-50, Shot=1-shot, # learnable params=19.0M2023.0555.452.565.951.351.9
LSegSettings=cls name, Backbone=ViT-L2023.0852.361.363.643.141
PPNetBackbone=ResNet-50, Shot=1-shot, # learnable params=31.5M2023.0551.547.858.853.845.6
AttrSegSettings=attr (hrchy), Backbone=RN1012023.0849.152.955.34543.1
PANetBackbone=VGG-16, Shot=1-shot, # learnable params=14.7M2023.0548.142.35851.141.2
LSegSettings=cls name, Backbone=RN1012023.0847.452.853.844.438.5
AMPBackbone=VGG-16, Shot=5-shot, # learnable params=15.8M2023.0546.941.855.550.339.9
LSegSettings=attr (post-), Backbone=RN1012023.0845.35052.242.136.8
LSegSettings=attr (pre-), Backbone=RN1012023.0844.349.151.440.935.9
LSegSettings=attr (direct), Backbone=RN1012023.084448.651.239.736.2
AMPBackbone=VGG-16, Shot=1-shot, # learnable params=15.8M2023.0543.441.950.246.734.7
ZS3NetSettings=cls name, Backbone=RN1012023.0838.340.839.439.333.6
SPNetSettings=cls name, Backbone=RN1012023.0818.323.81714.118.3