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ResearchFormerly WizWand

Semantic Segmentation on Pascal-VOC 12 (val) with Resource Tracking

64.71mIoUVanilla training
37.04644.22851.4158.592Nov 10, 2024
Updated 8mo ago

Evaluation results

MethodLinks
Vanilla trainingArchitecture=UPerNet, #Layers=All2024.1164.7177.322,168.782,168.78
Vanilla trainingArchitecture=DLV3, #Layers=All2024.1158.4472.031,128.021,128.02
Vanilla trainingArchitecture=PSPNet, #Layers=All2024.1154.9768.46920.78920.78
Vanilla trainingArchitecture=PSPNet, #Layers=102024.1153.1767.18352352
SVDArchitecture=PSPNet, #Layers=10, epsilon=0.92024.1152.766.39295.6292.46
HOSVDArchitecture=DLV3, #Layers=10, epsilon=0.92024.1152.2665.89.237.24
HOSVDArchitecture=PSPNet, #Layers=10, epsilon=0.92024.1152.1165.58.186.44
SVDArchitecture=PSPNet, #Layers=10, epsilon=0.82024.1152.0365.44238.2232.5
Gradient FilterArchitecture=PSPNet, #Layers=102024.1151.265.012222
HOSVDArchitecture=PSPNet, #Layers=10, epsilon=0.82024.1149.2362.391.41.24
Vanilla trainingArchitecture=PSPNet-M, #Layers=All2024.1148.9262.112,622.492,622.49
HOSVDArchitecture=UPerNet, #Layers=10, epsilon=0.92024.1147.9460.77.817.51
Vanilla trainingArchitecture=FCN, #Layers=All2024.1145.3659.53952952
HOSVDArchitecture=PSPNet-M, #Layers=10, epsilon=0.92024.114456.98.26.16
HOSVDArchitecture=FCN, #Layers=10, epsilon=0.92024.1139.8952.1117.5714.28
Vanilla trainingArchitecture=PSPNet, #Layers=52024.1139.3651.79128128
Gradient FilterArchitecture=PSPNet, #Layers=52024.1139.3451.5988
SVDArchitecture=PSPNet, #Layers=5, epsilon=0.92024.1139.3450.92111.2108.88
HOSVDArchitecture=PSPNet, #Layers=5, epsilon=0.92024.1139.0350.292.261.7
SVDArchitecture=PSPNet, #Layers=5, epsilon=0.82024.1138.9750.0490.485.64
HOSVDArchitecture=PSPNet, #Layers=5, epsilon=0.82024.1138.1149.290.470.32