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Semantic Segmentation on DeepGlobe (test)

74.1mIoUWSDNet
35.82845.76455.765.636May 18, 2023

Evaluation results

MethodLinks
WSDNetInference Paradigm=UHR Models, Memory (M)=1876, FPS=30.32023.0574.185.289.1
ISDNetInference Paradigm=UHR Models, Memory (M)=1948, FPS=27.72023.0573.38488.7
MagNetInference Paradigm=UHR Models, Memory (M)=1559, FPS=0.802023.0572.9——
FCtLInference Paradigm=UHR Models, Memory (M)=3167, FPS=0.132023.0572.883.888.3
PPNInference Paradigm=UHR Models, Memory (M)=1193, FPS=12.92023.0571.9——
FCN-8sInference Paradigm=Local Inference, Memory (M)=1963, FPS=4.552023.0571.882.687.6
PointRendInference Paradigm=UHR Models, Memory (M)=1593, FPS=6.252023.0571.8——
MagNet-FastInference Paradigm=UHR Models, Memory (M)=1559, FPS=3.402023.0571.8——
GLNetInference Paradigm=UHR Models, Memory (M)=1865, FPS=0.172023.0571.683.288
STDCInference Paradigm=Global Inference, Memory (M)=2580, FPS=14.02023.0570.3——
FCN-8sInference Paradigm=Global Inference, Memory (M)=5227, FPS=7.912023.0568.879.886.2
CascadePSPInference Paradigm=UHR Models, Memory (M)=3236, FPS=0.112023.0568.579.785.6
DeepLabv3+Inference Paradigm=Global Inference, Memory (M)=3199, FPS=4.442023.0563.5——
DeepLabv3+Inference Paradigm=Local Inference, Memory (M)=1279, FPS=1.602023.0563.1——
PSPNetInference Paradigm=Global Inference, Memory (M)=6289, FPS=1.02023.0556.6——
DANetInference Paradigm=Global Inference, Memory (M)=6812, FPS=2.32023.0553.8——
BiseNetV1Inference Paradigm=Global Inference, Memory (M)=1801, FPS=14.22023.0553——
ICNetInference Paradigm=Global Inference, Memory (M)=2557, FPS=5.32023.0540.2——
U-NetInference Paradigm=Global Inference, Memory (M)=5507, FPS=3.542023.0538.4——
U-NetInference Paradigm=Local Inference, Memory (M)=949, FPS=1.262023.0537.3——