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Semantic Segmentation on DensePASS (test)

48.6mIoUDPPASS
15.42424.03732.6541.263Jul 25, 2022Sep 3, 2022Oct 14, 2022Nov 23, 2022Jan 3, 2023Feb 12, 2023Mar 25, 2023

Evaluation results

MethodLinks
DPPASSBackbone=MiT-B22023.0348.632.4—
Trans4PASS+* (S)Backbone=Trans4PASS+ (S), FLOPs (G)=63.2, #P (M)=44.9, Head=Mask2Former, DMLPv2=true2022.0748.4—-31.2
Trans4PASS+* (T)Backbone=Trans4PASS+ (T), FLOPs (G)=55.2, #P (M)=33.9, Head=Mask2Former, DMLPv2=true2022.0746.8—-31
Mask2FormerBackbone=SegFormer-B1, FLOPs (G)=58.9, #P (M)=33.62022.0746.5—-31.1
Trans4PASS+ (S)Backbone=Trans4PASS+ (S), FLOPs (G)=19.8, #P (M)=252022.0746.5—-34.2
Mask2FormerBackbone=SegFormer-B2, FLOPs (G)=68.7, #P (M)=44.62022.0746.4—-33.8
MaskFormerBackbone=SegFormer-B2, FLOPs (G)=52.8, #P (M)=392022.0746.1—-32.7
Mask2FormerBackbone=Swin-S, FLOPs (G)=97.1, #P (M)=68.82022.0745.8—-36.8
Trans4PASSBackbone=Trans4PASS-S2023.0344.836.3—
Trans4PASS (S)Backbone=Trans4PASS (S), FLOPs (G)=20, #P (M)=252022.0744.8—-36.3
SegformerBackbone=MiT-B22023.0342.438.6—
DPPASSBackbone=MiT-B12023.0342.436.1—
SegFormer-B2Backbone=SegFormer-B2, FLOPs (G)=25.3, #P (M)=24.72022.0742.4—-38.6
DPPASSBackbone=ResNet-502023.0342.336.3—
Trans4PASS+ (T)Backbone=Trans4PASS+ (T), FLOPs (G)=11.7, #P (M)=142022.0741.6—-37
Trans4PASSBackbone=Trans4PASS-T2023.0341.537.6—
Trans4PASS (T)Backbone=Trans4PASS (T), FLOPs (G)=12, #P (M)=13.92022.0741.5—-37.6
Mask2FormerBackbone=Swin-T, FLOPs (G)=73.3, #P (M)=47.42022.0739.9—-41.8
P2PDABackbone=ResNet-502023.0339.839.5—
DPPASSBackbone=ResNet-342023.0338.936.5—
SegformerBackbone=MiT-B12023.0338.540—
SegFormer-B1Backbone=SegFormer-B1, FLOPs (G)=15.5, #P (M)=13.72022.0738.5—-40
SETRBackbone=Transformer-L2023.0336.141.8—
SETR-NaiveBackbone=Transformer-L, FLOPs (G)=363, #P (M)=3062022.0736.1—-41.8
SETR-PUPBackbone=Transformer-L, FLOPs (G)=417, #P (M)=3102022.0735.7—-43.6
SETR-MLABackbone=Transformer-L, FLOPs (G)=367, #P (M)=3112022.0735.6—-41.6
MaskFormerBackbone=SegFormer-B1, FLOPs (G)=42.9, #P (M)=27.92022.0735—-31.9
P2PDABackbone=ERFNet2023.0334.138—
P2PDABackbone=ResNet-342023.0333.138.2—
OCRNetBackbone=HRNetV2p-W48, FLOPs (G)=163, #P (M)=70.42022.0732.8—-47.9
DeepLabv3+Backbone=ResNet-1012023.0332.548.4—
DeepLabV3+Backbone=ResNet-101, FLOPs (G)=254, #P (M)=60.22022.0732.5—-48.4
DNLBackbone=ResNet-101, FLOPs (G)=286, #P (M)=66.72022.0732.1—-48.3
Semantic-FPNBackbone=PVT-T2023.0331.240.3—
OCRNetBackbone=HRNetV2p-W18, FLOPs (G)=53.6, #P (M)=12.12022.0730.8—-47.8
PSPNetBackbone=ResNet-1012023.0330.449.4—
Semantic-FPNBackbone=ResNet-502023.0329.944.6—
PSPNetBackbone=ResNet-502023.0329.549.1—
PSPNetBackbone=ResNet-50, FLOPs (G)=179, #P (M)=46.62022.0729.5—-49.1
DeepLabv3+Backbone=ResNet-502023.032951.1—
Semantic-FPNBackbone=ResNet-1012023.0328.847—
Semantic-FPNBackbone=ResNet-101, FLOPs (G)=64.9, #P (M)=47.52022.0728.8—-47
ResNeStBackbone=ResNeSt-101, FLOPs (G)=283, #P (M)=69.82022.0728.8—-50.8
DANetBackbone=ResNet-502023.0328.550.8—
DANetBackbone=ResNet-101, FLOPs (G)=289, #P (M)=66.52022.0728.5—-51.9
FANetBackbone=ResNet-342023.0326.944.4—
FANetBackbone=ResNet-34, FLOPs (G)=8.12022.0726.9—-44.4
SwiftNetBackbone=ResNet-18, FLOPs (G)=9.3, #P (M)=8.52022.0725.7—-49.7
Fast-SCNNBackbone=Fast-SCNN, FLOPs (G)=0.9, #P (M)=1.42022.0724.6—-44.5
ERFNetBackbone=ERFNet2023.0316.755.4—
ERFNetBackbone=ERFNet, FLOPs (G)=14.7, #P (M)=2.12022.0716.7—-55.4