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Object Detection on Cityscapes (val)

68.1mAP50Mask R-CNN w/ Turbo
-2.4140815.8924634.19952.50554Feb 25, 2021Jan 12, 2022Nov 30, 2022Oct 18, 2023Sep 4, 2024Jul 23, 2025Jun 10, 2026

Evaluation results

MethodLinks
Mask R-CNN w/ TurboBackbone=R101-FPN, Turbo-Inference Strategy=true2026.0668.1—42.717.543.165.4
Mask R-CNNBackbone=R101-FPN2026.0667.8—41.817.242.663.8
Mask R-CNNBackbone=R50-FPN2026.0665.7—40.917.54062.4
Mask R-CNN w/ TurboBackbone=R50-FPN, Turbo-Inference Strategy=true2026.0664.5—41.917.640.663.7
Cal-DETRArchitecture=D-DETR2023.1151.48.428.4———
TCDArchitecture=D-DETR2023.1150.811.928.3———
MbLSArchitecture=D-DETR2023.1149.712.127.3———
Baseline D-DETRArchitecture=D-DETR2023.1149.513.826.8———
Temp. ScalingArchitecture=D-DETR2023.1149.512.626.8———
MDCAArchitecture=D-DETR2023.1149.513.427.5———
OA-DG2025.0343.4—————
FSCE2025.0343.1—————
SRCDSource Domain=SIM10K2023.0743—————
OA-Mix2025.0342.7—————
Diff. GuidedSD Version=2.12025.0342.2—————
Diff. GuidedSD Version=1.52025.0342.1—————
SHADESource Domain=SIM10K2023.0740.9—————
ISWSource Domain=SIM10K2023.0740.4—————
MAE-DET-MHead=FCOS, Resolution=2048 x 1024, Epochs=64, FLOPS=426G2021.1138.1—————
ResNet-50Head=FCOS, Resolution=2048 x 1024, Epochs=64, FLOPS=411G2021.1137—————
CDSDSource Domain=SIM10K2023.0735.2—————
Diff. DetectorSD Version=1.52025.0334.7—————
Diff. DetectorSD Version=2.12025.0334.7—————
SWSource Domain=SIM10K2023.0734.5—————
Faster-RCNNSource Domain=SIM10K2023.0734.3—————
IterNormSource Domain=SIM10K2023.0734.3—————
IBN-NetSource Domain=SIM10K2023.0733.2—————
Dataset-specific (Oracle)Training Data=Cityscapes training set, Backbone=ResNet-502021.020.546—————
Unified detector (UniDet)Strategy=Unified (retrained), Backbone=ResNet-502021.020.526—————
Partitioned DetectorStrategy=Partitioned, Backbone=ResNet-502021.020.484—————
EnsembleStrategy=Ensemble, Backbone=ResNet-502021.020.46—————
Mapillary modelTraining Data=Mapillary, Backbone=ResNet-502021.020.447—————
Objects365 modelTraining Data=Objects365, Backbone=ResNet-502021.020.434—————
COCO modelTraining Data=COCO, Backbone=ResNet-502021.020.396—————
OpenImages modelTraining Data=OpenImages, Backbone=ResNet-502021.020.298—————