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Semantic Segmentation on GTA5 to {Cityscapes, Mapillary, BDD} (test)

73.63mIoU (Cityscapes)SoMA
20.142834.028947.91561.8011Mar 3, 2021Oct 17, 2021Jun 3, 2022Jan 18, 2023Sep 4, 2023Apr 20, 2024Dec 5, 2024

Evaluation results

MethodLinks
SoMABackbone=DINOv2-L, Params.=4.9M2024.1273.6370.9863.3369.31—
SoMABackbone=DINOv2-L, Params.=4.9M2024.1271.8271.6761.3168.27—
Rein†Backbone=DINOv2-L, Params.=3.0M2024.1270.6869.6162.5167.6—
LoRABackbone=DINOv2-L, Params.=7.3M2024.1270.1370.4260.1366.89—
AdaptFormerBackbone=DINOv2-L, Params.=6.3M2024.1270.168.7759.8166.23—
SoMABackbone=EVA02-L, Params.=5.1M2024.1269.9468.3362.4866.92—
SSFBackbone=DINOv2-L, Params.=0.5M2024.1268.9768.7761.366.35—
tqdmTask=DGSS, Backbone=EVA02-L2024.0768.8870.159.1866.05—
tqdmBackbone=EVA02-L, Params.=304.2M2024.1268.8870.159.1866.05—
VPTBackbone=DINOv2-L, Params.=3.7M2024.1268.7568.3258.6465.24—
FADABackbone=DINOv2-L, Params.=11.7M2024.1268.2368.0961.9466.09—
SETBackbone=DINOv2-L, Params.=6.1M2024.1268.0667.6861.6465.79—
SoMABackbone=EVA02-L, Params.=5.1M2024.1268.0568.3360.8165.73—
FADABackbone=EVA02-L, Params.=11.7M2024.1266.766.161.964.9—
ReinBackbone=DINOv2 (Large), Fine-tune Method=Rein, Trainable Params=2.99M2023.1266.466.160.464.3—
DORABackbone=DINOv2-L, Params.=7.5M2024.1266.1267.0759.3164.17—
ReinBackbone=EVA02 (Large), Fine-tune Method=Rein, Trainable Params=2.99M2023.1265.364.960.563.6—
VLTSegBackbone=EVA02-L, Params.=304.2M2024.1265.36658.363.2—
ReinBackbone=EVA02-L, Params.=3.0M2024.1265.364.960.563.6—
DINOv2Backbone=DINOv2 (Large), Fine-tune Method=Full, Trainable Params=304.20M2023.1263.764.257.461.7—
DINOv2-LPublication=arXiv23, Model Category=Frozen backbone of VFMs, Backbone=ViT-L, Decoder Head=Mask2Former2023.1263.363.956.161.1—
DINOv2Backbone=DINOv2 (Large), Fine-tune Method=Freeze, Trainable Params=0.00M2023.1263.363.956.161.1—
EVA02Backbone=EVA02 (Large), Fine-tune Method=Full, Trainable Params=304.24M2023.1262.164.656.260.9—
CLOUDSBackbone=CLIP-CN-L, Params.=0.0M2024.1260.26757.461.5—
ReinBackbone=SAM (Huge), Fine-tune Method=Rein, Trainable Params=4.51M2023.1259.662.15257.9—
SAMBackbone=SAM (Huge), Fine-tune Method=Full, Trainable Params=632.18M2023.1257.661.551.756.9—
CAT-SegTask=OVS, Backbone=EVA02-L + Swin-B2024.0757.361.8351.2456.79—
ReinBackbone=CLIP (ViT-Large), Fine-tune Method=Rein, Trainable Params=2.99M2023.1257.160.554.757.4—
SAM-HPublication=ICCV23, Model Category=Frozen backbone of VFMs, Backbone=ViT-H, Decoder Head=Mask2Former2023.125758.447.154.2—
SAMBackbone=SAM (Huge), Fine-tune Method=Freeze, Trainable Params=0.00M2023.125758.447.154.2—
EVA02-LPublication=arXiv23, Model Category=Frozen backbone of VFMs, Backbone=ViT-L, Decoder Head=Mask2Former2023.1256.558.653.656.2—
EVA02Backbone=EVA02 (Large), Fine-tune Method=Freeze, Trainable Params=0.00M2023.1256.558.653.656.2—
ReinBackbone=MAE (Large), Fine-tune Method=Rein, Trainable Params=2.99M2023.125558.649.354.3—
CLIP-ViT-LPublication=ICML21, Model Category=Frozen backbone of VFMs, Backbone=ViT-L, Decoder Head=Mask2Former2023.1253.75548.752.4—
CLIPBackbone=CLIP (ViT-Large), Fine-tune Method=Freeze, Trainable Params=0.00M2023.1253.75548.752.4—
MAEBackbone=MAE (Large), Fine-tune Method=Full, Trainable Params=330.94M2023.1253.758.150.854.2—
CLIPBackbone=CLIP (ViT-Large), Fine-tune Method=Full, Trainable Params=304.15M2023.1251.354.347.651.1—
TLDRPublication=ICCV23, Model Category=Previous DGSS methods, Decoder Head=Mask2Former2023.1247.648.844.947.1—
SPCPublication=CVPR23, Model Category=Previous DGSS methods, Decoder Head=Mask2Former2023.1246.745.543.745.3—
WildNetPublication=CVPR22, Model Category=Previous DGSS methods, Decoder Head=Mask2Former2023.1245.847.141.744.9—
ISW+AdvStyleBackbone=ResNet-101, Training Set=Training set (12,403), Evaluation Checkpoint=Best, Auxiliary ImageNet Data=false2022.0745.6246.6941.7144.6713.2
PASTAPublication=ICCV23, Model Category=Previous DGSS methods, Decoder Head=Mask2Former2023.1245.348.642.345.4—
IDABackbone=ResNet-101, Access to target-domain data=true2021.0345.139.437.640.7—
FDABackbone=ResNet-101, Access to target-domain data=true2021.034539.638.140.9—
CBSTBackbone=ResNet-101, Access to target-domain data=true2021.0344.940.340.541.9—
FSDRBackbone=ResNet-101, Access to target-domain data=false2021.0344.843.441.243.1—
FSDRBackbone=ResNet-101, Training Set=Whole set (24,966), Evaluation Checkpoint=Best, Auxiliary ImageNet Data=true2022.0744.843.441.243.1313.6
ISW+AdvStyleBackbone=ResNet-101, Training Set=Whole set (24,966), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0744.5143.4839.2742.42—
IBN-Net+AdvStyleBackbone=ResNet-101, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0744.0442.6739.9642.2210.75
GTRPublication=TIP21, Model Category=Previous DGSS methods, Decoder Head=Mask2Former2023.1243.739.139.640.8—
ISW+AdvStyleBackbone=ResNet-101, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0743.4441.9640.3241.9110.44
AdvStylePublication=NIPS22, Model Category=Previous DGSS methods, Decoder Head=Mask2Former2023.1243.44240.341.9—
MAE-LPublication=CVPR22, Model Category=Frozen backbone of VFMs, Backbone=ViT-L, Decoder Head=Mask2Former2023.1243.34837.843—
MAEBackbone=MAE (Large), Fine-tune Method=Freeze, Trainable Params=0.00M2023.1243.34837.843—
DRPCBackbone=ResNet-101, Training Set=Whole set (24,966), Evaluation Checkpoint=Best, Auxiliary ImageNet Data=true2022.0742.5338.0538.7239.769.88
DRPCBackbone=ResNet-101, Access to target-domain data=false2021.0342.53838.739.8—
MinEntBackbone=ResNet-101, Access to target-domain data=true2021.0342.338.534.438.4—
AdaSeg.Backbone=ResNet-101, Access to target-domain data=true2021.0341.438.336.238.6—
IBN-NetBackbone=ResNet-101, Access to target-domain data=false2021.0340.335.935.637.2—
IBN-NetBackbone=ResNet-101, Training Set=Whole set (24,966), Evaluation Checkpoint=Best, Auxiliary ImageNet Data=false2022.0740.335.935.637.267.73
Baseline+AdvStyleBackbone=ResNet-50, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0739.623735.5437.399.97
ISW+AdvStyleBackbone=ResNet-50, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0739.641.8938.5940.0312.61
Baseline+AdvStyleBackbone=ResNet-101, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0739.5236.136.3937.345.87
IBN-Net+AdvStyleBackbone=ResNet-50, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0739.3240.8236.4238.8511.43
IDABackbone=VGG-16, Access to target-domain data=true2021.0338.534.232.335—
FSDRBackbone=VGG-16, Access to target-domain data=false2021.0338.337.634.437.1—
CBSTBackbone=VGG-16, Access to target-domain data=true2021.0338.134.633.935.5—
FDABackbone=VGG-16, Access to target-domain data=true2021.0337.933.832.134.6—
BlindNetBackbone=MobileNetV2, External Module=No2024.0337.6640.436.138.05—
DPCLBackbone=MobileNetV2, External Module=Yes2024.0337.5740.335.4537.77—
ISWBackbone=ResNet-101, Training Set=Whole set (24,966), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0737.5136.1233.5435.72—
DRPCBackbone=ResNet-50, Training Set=Whole set (24,966), Evaluation Checkpoint=Best, Auxiliary ImageNet Data=true2022.0737.4234.1232.1434.566.28
IBN-NetBackbone=ResNet-101, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0737.3736.8134.2136.134.66
ISWBackbone=ResNet-101, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0737.235.5733.3635.383.91
ISWBackbone=ResNet-50, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0736.5840.3335.237.379.95
DRPCBackbone=VGG-16, Access to target-domain data=false2021.0336.132.331.633.3—
AdaSeg.Backbone=VGG-16, Access to target-domain data=true2021.033532.631.333—
IBN-NetBackbone=VGG-16, Access to target-domain data=false2021.0334.83130.432—
DIRLBackbone=MobileNetV2, External Module=Yes2024.0334.6734.3132.7833.92—
SiamDoGeBackbone=MobileNetV2, External Module=No2024.0334.1532.3434.533.67—
IBN-NetBackbone=ResNet-50, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0733.8537.7532.334.637.21
BaselineBackbone=ResNet-101, Training Set=Whole set (24,966), Evaluation Checkpoint=Best, Auxiliary ImageNet Data=false2022.0733.5628.3327.7629.88—
BaselineBackbone=ResNet-101, Training Set=Whole set (24,966), Evaluation Checkpoint=Best, Auxiliary ImageNet Data=false2022.0733.427.927.329.53—
BaselineBackbone=ResNet-101, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0732.9730.6830.7731.47—
MinEntBackbone=VGG-16, Access to target-domain data=true2021.0332.830.729.531—
BaselineBackbone=ResNet-50, Training Set=Whole set (24,966), Evaluation Checkpoint=Best, Auxiliary ImageNet Data=false2022.0732.4525.6626.7328.28—
IterNormBackbone=ResNet-50, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0731.8133.8832.732.795.37
RobustNetBackbone=MobileNetV2, External Module=No2024.0330.8630.6730.0530.52—
IBN-NetBackbone=MobileNetV2, External Module=No2024.0330.1427.0727.6628.29—
SWBackbone=ResNet-50, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0729.9129.7127.4829.031.61
IBN-NetBackbone=ResNet-50, Training Set=Whole set (24,966), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0729.6———7.4
BaselineBackbone=ResNet-50, Training Set=Training set (12,403), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0728.9528.1825.1427.42—
BaselineBackbone=MobileNetV2, External Module=No2024.0325.8426.4525.7326.04—
BaselineBackbone=ResNet-50, Training Set=Whole set (24,966), Evaluation Checkpoint=Last, Auxiliary ImageNet Data=false2022.0722.2————