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Semantic Segmentation on UDS merged (test)

78mIoUDeeplabv3+
61.98466.14270.374.458Jul 10, 2022

Evaluation results

MethodLinks
Deeplabv3+Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=3.7, #Params=40.5M2022.0778
OCRNetResolution=1024 x 2048, Inference Scale=Single scale, #FPS=4.2, #Params=39.0M2022.0777
EMANetResolution=1024 x 2048, Inference Scale=Single scale, #FPS=4.4, #Params=34.8M2022.0776.8
SFNetBackbone=ResNet-18, Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=19.4, #Params=12.9M2022.0776.5
DANetResolution=1024 x 2048, Inference Scale=Single scale, #FPS=3, #Params=48.1M2022.0775.8
SFNet-LiteBackbone=STDC-2, Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=30.2, #Params=13.7M2022.0775.6
SFNetBackbone=DF2, Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=37.5, #Params=19.6M2022.0775.5
SFNet-LiteBackbone=ResNet-18, Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=24.5, #Params=12.3M2022.0775.3
PSPNetResolution=1024 x 2048, Inference Scale=Single scale, #FPS=5.3, #Params=31.1M2022.0775.2
STDC2Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=24.5, #Params=16.1M2022.0775.2
SFNet-LiteBackbone=STDC-1, Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=33.5, #Params=13.7M2022.0774.8
STDC1Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=30.2, #Params=12.0M2022.0774
Bi-AlignResolution=1024 x 2048, Inference Scale=Single scale, #FPS=30.1, #Params=19.2M2022.0773.9
BiSeNet-V1Backbone=ResNet-18, Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=24.5, #Params=12.9M2022.0773.8
ICNetResolution=1024 x 2048, Inference Scale=Single scale, #FPS=38.5, #Params=26.5M2022.0772.9
SFNetBackbone=DF1, Resolution=1024 x 2048, Inference Scale=Single scale, #FPS=69.5, #Params=9.0M2022.0771.6
DF2-SegResolution=1024 x 2048, Inference Scale=Single scale, #FPS=45.1, #Params=18.9M2022.0766.8
DF1-SegResolution=1024 x 2048, Inference Scale=Single scale, #FPS=75.2, #Params=8.6M2022.0762.6