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Semantic Segmentation on Cityscapes (val) (mIoU, GMACS, FPS)

80.6mIoUStochastic Sampling
64.37668.58872.877.012Nov 24, 2020

Evaluation results

MethodLinks
Stochastic Sampling2020.1180.6373.2——
SwiftNet-RN50 (baseline, our impl.)Backbone=ResNet-50, Evaluation Device=1080 Ti2020.1178206.316.316.3
SegBlocks-RN50Backbone=ResNet-50, Hyperparameter τ=0.4, Evaluation Device=1080 Ti2020.1177.5127.223.323.3
SwiftNet-EffL1 (baseline, our impl.)Backbone=EfficientNet-L1, Evaluation Device=1080 Ti2020.1176.624.917.417.4
Huang et al.Evaluation Device=1080 Ti2020.1176.4—1.81.8
SegBlocks-RN18Backbone=ResNet-18, Hyperparameter τ=0.4, Evaluation Device=1080 Ti2020.1176.360.548.648.6
SegBlocks-EffL1Backbone=EfficientNet-L1, Hyperparameter τ=0.4, Evaluation Device=1080 Ti2020.1176.315.630.430.4
SegBlocks-RN50Backbone=ResNet-50, Hyperparameter τ=0.2, Evaluation Device=1080 Ti2020.1176.288.53030
SwiftNet-RN18 (baseline, our impl.)Backbone=ResNet-18, Evaluation Device=1080 Ti2020.1176.2104.138.438.4
HyperSeg-MEvaluation Device=1080 Ti2020.1176.27.536.936.9
SegBlocks-RN18Backbone=ResNet-18, Hyperparameter τ=0.2, Evaluation Device=1080 Ti2020.1175.943.557.857.8
BiSeNetV2-RN18Backbone=ResNet-18, Evaluation Device=1080 Ti2020.1175.8118.547.347.3
SwiftNet-RN18Backbone=ResNet-18, Evaluation Device=1080 Ti2020.1175.610439.939.9
SegBlocks-EffL1Backbone=EfficientNet-L1, Hyperparameter τ=0.2, Evaluation Device=1080 Ti2020.1175.311.435.635.6
Patch Proposal NetworkEvaluation Device=1080 Ti2020.1175.2—2424
BiSeNet-RN18Backbone=ResNet-18, Evaluation Device=Titan Xp2020.1174.86765.558.5
Wu et al.Evaluation Device=980 Ti2020.1172.9—1533
ERFNetEvaluation Device=Titan X2020.1172.727.711.218.4
DABNetEvaluation Device=1080 Ti2020.1170.1—27.727.7
ICNetEvaluation Device=Titan X2020.1169.53030.349.7
ESPNetV22020.1166.12.7——
Learning Downsampling2020.116534——