List your company

Semantic Segmentation on MF (test)

93.3Car AccuracyFEANet
76.55680.90385.2589.597Apr 21, 2022

Evaluation results

MethodLinks
FEANetModality=RGB-Thermal2022.0493.373.255.387.882.771.176.761.165.546.526.622.170.86.666.655.377.348.9
FuseSeg-161Modality=RGB-Thermal2022.0493.170.654.587.981.471.778.564.668.444.829.122.763.76.455.846.966.447.9
RTFNet-152Backbone=ResNet-152, Modality=RGB-Thermal2022.049363.153.287.479.370.376.862.760.745.338.529.80045.529.174.755.7
HRNet2-4cInput Channels=4c (RGB-thermal)2022.0492.863.753.287.679.37178.363.459.842.525.719.118.8056.549.863.544.5
HRNet2-3cInput Channels=3c (RGB)2022.0492.260.951.386.673.159.874.961.34733.223.828.77.3054.647.261.546.2
DooDLeNetBackbone=ResNet-101, Modality=RGB-Thermal2022.0491.767.957.386.781.372.276.662.558.946.736.22835.25.156.950.774.865.8
RTFNet-50Backbone=ResNet-50, Modality=RGB-Thermal2022.0491.362.251.786.378.267.871.558.269.843.732.124.313.43.640.42673.557.2
DFN-3cInput Channels=3c (RGB)2022.0490.757.347.581.467.752.871.557.549.234.935.123.84.11.444.23154.647.5
BiSeNet-3cInput Channels=3c (RGB)2022.049054.948.284.56554.37561.432.125.732.326.23.20.949.643.348.140.5
DFN-4cInput Channels=4c (RGB-thermal)2022.049060.55284.473.26575.560.95440.438.925.710.22.748.342.555.847.4
BiSeNet-4cInput Channels=4c (RGB-thermal)2022.0489.757.75084.17263.274.160.145.136.734.225.318.2547.442.239.835.9
DACNNModality=RGB-Thermal2022.0485.255.146.17761.753.47656.540.230.99.929.322.86.432.930.136.532.3
FRRN-4cInput Channels=4c (RGB-thermal)2022.0481.948.544.274.766.260.862.850.341.23512.511.50037.23435.234.6
FuseNetModality=RGB-Thermal2022.048152.445.675.675.266.364.551.95137.828.7150031.121.451.945
FRRN-3cInput Channels=3c (RGB)2022.048047.141.871.25346.165.1533427.121.619.10034.732.536.230.5
MFNetModality=RGB-Thermal2022.0477.245.139.765.96758.953.942.936.229.919.19.90.18.530.325.23027.7