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ResearchFormerly WizWand

Semantic Segmentation on IDD original size (val)

78.9mIoUDeeplabv3+
62.7866.96571.1575.335Jul 10, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Deeplabv3+Resolution=1080 x 1920, Inference scale=single-scale, #FPS=3.5, #Params=40.5M2022.0778.9
OCRNetResolution=1080 x 1920, Inference scale=single-scale, #FPS=4.2, #Params=39.0M2022.0778.1
PSPNetResolution=1080 x 1920, Inference scale=single-scale, #FPS=5.2, #Params=31.1M2022.0777.6
EMANetResolution=1080 x 1920, Inference scale=single-scale, #FPS=4.4, #Params=34.8M2022.0777.2
SFNetBackbone=ResNet-18, Resolution=1080 x 1920, Inference scale=single-scale, #FPS=20.2, #Params=12.87M2022.0776.8
SFNet-LiteBackbone=STDC-2, Resolution=1080 x 1920, Inference scale=single-scale, #FPS=26.2, #Params=13.7M2022.0776.8
DANetResolution=1080 x 1920, Inference scale=single-scale, #FPS=3.2, #Params=48.1M2022.0776.6
STDC2Resolution=1080 x 1920, Inference scale=single-scale, #FPS=24.8, #Params=16.1M2022.0776.3
SFNetBackbone=DF2, Resolution=1080 x 1920, Inference scale=single-scale, #FPS=37.4, #Params=19.63M2022.0776.3
SFNet-LiteBackbone=ResNet-18, Resolution=1080 x 1920, Inference scale=single-scale, #FPS=26.8, #Params=12.3M2022.0776.2
SFNetBackbone=DF1, Resolution=1080 x 1920, Inference scale=single-scale, #FPS=65.8, #Params=9.03M2022.0775.8
STDC1Resolution=1080 x 1920, Inference scale=single-scale, #FPS=30.8, #Params=12.0M2022.0775.5
BiSeNet-V1Backbone=ResNet-18, Resolution=1080 x 1920, Inference scale=single-scale, #FPS=24.5, #Params=12.9M2022.0774.4
Bi-AlignResolution=1080 x 1920, Inference scale=single-scale, #FPS=30.2, #Params=19.2M2022.0773.9
ICNetResolution=1080 x 1920, Inference scale=single-scale, #FPS=37.5, #Params=26.5M2022.0773.8
DF2-SegResolution=1080 x 1920, Inference scale=single-scale, #FPS=50.8, #Params=18.88M2022.0767.9
DF1-SegResolution=1080 x 1920, Inference scale=single-scale, #FPS=79.2, #Params=8.55M2022.0763.4