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Few-shot Semantic Segmentation on PASCAL-5^i 61 (test)

64.8mIoUHSNet
45.5650.55555.5560.545Apr 4, 2021

Evaluation results

MethodLinks
HSNetBackbone=ResNet101, Shot=5-shot, Ignore Label=False, Learnable Parameters=2.6M2021.0464.863.969.96263.677.1
HSNetBackbone=ResNet50, Shot=5-shot, Ignore Label=False, Learnable Parameters=2.6M2021.0464.262.669.262.562.477.4
HSNetBackbone=ResNet101, Shot=1-shot, Ignore Label=False, Learnable Parameters=2.6M2021.0461.160.167.857.35974.4
HSNetBackbone=VGG16, Shot=5-shot, Ignore Label=False, Learnable Parameters=2.6M2021.0459.158.364.758.954.673.5
HSNetBackbone=ResNet50, Shot=1-shot, Ignore Label=False, Learnable Parameters=2.6M2021.0459.157.466.855.856.573.8
CRNetBackbone=ResNet50, Shot=5-shot, Ignore Label=False2021.0458.8————71.5
CRNetBackbone=VGG16, Shot=5-shot, Ignore Label=False2021.0458.5————71
RPMMBackbone=ResNet50, Shot=5-shot, Ignore Label=False, Learnable Parameters=19.7M2021.0457.356.367.354.551—
CANetBackbone=ResNet50, Shot=5-shot, Ignore Label=False, Learnable Parameters=19.0M2021.0457.155.567.851.953.269.6
RPMMBackbone=ResNet50, Shot=1-shot, Ignore Label=False, Learnable Parameters=19.7M2021.0456.355.266.952.650.7—
CRNetBackbone=ResNet50, Shot=1-shot, Ignore Label=False2021.0455.7————66.8
CANetBackbone=ResNet50, Shot=1-shot, Ignore Label=False, Learnable Parameters=19.0M2021.0455.452.565.951.351.966.2
CRNetBackbone=VGG16, Shot=1-shot, Ignore Label=False2021.0455.2————66.4
HSNetBackbone=VGG16, Shot=1-shot, Ignore Label=False, Learnable Parameters=2.6M2021.0455.253.661.75550.370.5
SG-OneBackbone=VGG16, Shot=5-shot, Ignore Label=False, Learnable Parameters=19.0M2021.0447.141.958.648.639.465.9
SG-OneBackbone=VGG16, Shot=1-shot, Ignore Label=False, Learnable Parameters=19.0M2021.0446.340.258.448.438.463.1