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Semantic Segmentation on Cityscapes-C (val)

69.2mIoUSTL (FAN-L-Hybrid)
3.88820.84437.854.756Apr 26, 2022Aug 7, 2022Nov 19, 2022Mar 3, 2023Jun 14, 2023Sep 26, 2023Jan 8, 2024

Evaluation results

MethodLinks
STL (FAN-L-Hybrid)Encoder Size=77.3M2024.0169.2——————————————————83.6—
FAN-L-HybridEncoder Size=76.8M2022.0468.7——————————————————83.5—
FAN-L-HybridEncoder Size=76.8M2024.0168.7——————————————————83.5—
STL (FAN-B-Hybrid)Encoder Size=50.9M2024.0168.6——————————————————83.2—
FAN-B-HybridEncoder Size=50.4M2022.0466.9——————————————————81.5—
FAN-B-HybridEncoder Size=50.4M2024.0166.9——————————————————81.5—
FAN-S-HybridEncoder Size=26.3M2022.0466.4——————————————————81.5—
SegFormer-B5Encoder Size=81.4M2022.0465.8——————————————————79.9—
SegFormer-B5Encoder Size=81.4M2024.0165.8——————————————————79.9—
SegFormer-B2Encoder Size=24.2M2022.0459.6——————————————————73.6—
SegFormer-B2Encoder Size=24.2M2024.0159.6——————————————————73.6—
FAN-T-HybridEncoder Size=7.4M2022.0457.1——————————————————70.3—
SETREncoder Size=22.1M2022.0455.3——————————————————72.8—
SETREncoder Size=22.1M2024.0155.3——————————————————72.8—
ConvNeXt-TEncoder Size=29.0M2022.0454.4——————————————————68.9—
ConvNeXt-TEncoder Size=29.0M2024.0154.4——————————————————68.9—
SegFormer-B1Encoder Size=13.1M2022.0452.7——————————————————67.2—
SegFormer-B1Encoder Size=13.1M2024.0152.7——————————————————67.2—
SegFormer-B0Encoder Size=3.4M2022.0448.8——————————————————64—
SegFormer-B0Encoder Size=3.4M2024.0148.8——————————————————64—
Swin-TEncoder Size=28.4M2022.0447.3——————————————————60.6—
SWIN-TEncoder Size=28.4M2024.0147.3——————————————————60.6—
DeepLabv3+ (X65)Encoder Size=22.8M, Backbone=Xception-652022.0442.7——————————————————54.5—
DeepLabv3+ (X65)Encoder Size=22.8M2024.0142.7——————————————————54.5—
DeepLabv3+ (X71)Backbone=Xception-712022.0442.5——————————————————54.1—
DeepLabv3+ (X71)2024.0142.5——————————————————54.1—
DeepLabv3+ (R101)Encoder Size=47.9M, Backbone=ResNet-1012022.0439.4——————————————————51.1—
DeepLabv3+ (R101)Encoder Size=47.9M2024.0139.4——————————————————51.1—
DeepLabv3+ (R50)Encoder Size=25.4M, Backbone=ResNet-502022.0436.8——————————————————48—
DeepLabv3+ (R50)Encoder Size=25.4M2024.0136.8——————————————————48—
PSPNetEncoder Size=13.7M2022.0434.5——————————————————43.8—
PSPNetEncoder Size=13.7M2024.0134.5——————————————————43.8—
ResNet382022.0432.6——————————————————42.1—
ResNet382024.0132.6——————————————————42.1—
HSGBackbone=ResNet502023.1032.5———————————————————86
DilatedNet2022.0430.3——————————————————44.2—
DilatedNet2024.0130.3——————————————————44.2—
ICNet2022.0428——————————————————42.5—
CAUSE-TRBackbone=ViT-B/8, Encoder=DINO2023.1028———————————————————90.8
ICNet2024.0128——————————————————42.5—
FCN8sEncoder Size=50.1M2022.0427.4——————————————————41.1—
FCN8sEncoder Size=50.1M2024.0127.4——————————————————41.1—
CAUSE-MLPBackbone=ViT-B/8, Encoder=DINO2023.1025.7———————————————————90.3
SegDiscoverBackbone=ResNet502023.1024.6———————————————————81.9
CAUSE-TRBackbone=ViT-S/8, Encoder=DINO2023.1024.6———————————————————89.4
ReCo+Backbone=DeiT-B/82023.1024.2———————————————————83.7
CAUSE-MLPBackbone=ViT-S/8, Encoder=DINO2023.1021.7———————————————————87.7
STEGOBackbone=ViT-B/8, Encoder=DINO2023.1021———————————————————73.2
HPBackbone=ViT-S/8, Encoder=DINO2023.1018.4———————————————————80.1
HPBackbone=ViT-B/8, Encoder=DINO2023.1018.4———————————————————79.5
TransFGUBackbone=ViT-S/8, Encoder=DINO2023.1016.8———————————————————77.9
DINOBackbone=ViT-B/82023.1015.2———————————————————52.6
SegSortBackbone=ResNet1012023.1012.3———————————————————65.5
DINOBackbone=ViT-S/82023.1010.9———————————————————34.5
PICIEBackbone=ResNet182023.1010.3———————————————————43
IICBackbone=ResNet182023.106.4———————————————————47.9
DeepLabv3+Backbone=MobileNetv22021.05——7253.54945.349.16.476.616.651.746.732.427.213.738.947.417.3——
DeepLabv3+Backbone=ResNet-502021.05——76.658.556.647.257.76.57.21031.158.254.741.327.4124255.922.8——
DeepLabv3+Backbone=ResNet-1012021.05——77.159.156.347.757.313.213.916.336.959.254.541.537.411.947.855.122.7——
DeepLabv3+Backbone=Xception-412021.05——77.861.654.95154.71717.321.643.763.656.951.738.518.246.657.620.6——
DeepLabv3+Backbone=Xception-652021.05——78.463.959.152.859.21510.619.842.465.959.146.131.419.350.763.623.8——
DeepLabv3+Backbone=Xception-712021.05——78.664.160.95260.414.910.819.441.26858.747.140.218.850.464.120.2——
DilatedNet2021.05——68.644.436.332.538.415.61418.432.752.732.638.129.112.532.334.719.2——
FCN8s2021.05——66.742.731.13734.16.75.77.824.953.3393621.211.331.637.619.7——
GSCNN2021.05——80.958.958.441.960.15.52.66.824.775.961.970.71212.447.367.932.6——
ICNet2021.05——65.945.844.647.444.78.48.410.627.94133.127.5346.330.527.311——
PSPNet2021.05——78.859.853.244.453.91115.415.434.260.451.830.621.48.442.734.416.2——
ResNet-382021.05——77.554.645.143.347.213.71618.238.36050.646.914.713.545.952.922.2——
SegFormer-B5Backbone=MiT-B52021.05——82.469.148.664.169.857.863.452.372.88177.780.158.840.768.478.549.9——