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Semantic Segmentation on COCO-20i (Fold-0)

46.9mIoUQCLNet
15.80423.87731.9540.023May 12, 2023

Evaluation results

MethodLinks
QCLNetBackbone=ResNet-101, Shot=5-shot, # learnable params=2.6M2023.0546.9
QCLNetBackbone=ResNet-50, Shot=5-shot, # learnable params=2.6M2023.0546.4
HSNetBackbone=ResNet-101, Shot=5-shot, # learnable params=2.6M2023.0545.9
HSNetBackbone=ResNet-50, Shot=5-shot, # learnable params=2.6M2023.0543.3
SAGNNBackbone=ResNet-101, Shot=5-shot2023.0540.9
QCLNetBackbone=ResNet-101, Shot=1-shot, # learnable params=2.6M2023.0540
QCLNetBackbone=ResNet-50, Shot=1-shot, # learnable params=2.6M2023.0539.8
PPNetBackbone=ResNet-50, Shot=5-shot, # learnable params=31.5M2023.0539
PFENetBackbone=ResNet-101, Shot=5-shot, # learnable params=10.8M2023.0538.5
HSNetBackbone=ResNet-101, Shot=1-shot, # learnable params=2.6M2023.0537.2
PFENetBackbone=ResNet-50, Shot=1-shot, # learnable params=10.8M2023.0536.5
PFENetBackbone=ResNet-50, Shot=5-shot, # learnable params=10.8M2023.0536.5
HSNetBackbone=ResNet-50, Shot=1-shot, # learnable params=2.6M2023.0536.3
SAGNNBackbone=ResNet-101, Shot=1-shot2023.0536.1
PFENetBackbone=ResNet-101, Shot=1-shot, # learnable params=10.8M2023.0534.3
RPMMsBackbone=ResNet-50, Shot=5-shot2023.0533.8
PMMsBackbone=ResNet-50, Shot=5-shot2023.0533
HFABackbone=ResNet-101, Shot=5-shot, # learnable params=36.5M2023.0532.6
RPMMsBackbone=ResNet-50, Shot=1-shot2023.0529.5
PMMsBackbone=ResNet-50, Shot=1-shot2023.0529.3
HFABackbone=ResNet-101, Shot=1-shot, # learnable params=36.5M2023.0528.6
PPNetBackbone=ResNet-50, Shot=1-shot, # learnable params=31.5M2023.0528.1
FWBBackbone=ResNet-101, Shot=5-shot, # learnable params=43.0M2023.0519.1
FWBBackbone=ResNet-101, Shot=1-shot, # learnable params=43.0M2023.0517