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Semantic Segmentation on ADE20K (mIoU, Accm)

60.05mIoUEVA-02-L
-1.5714.427530.42546.4225Jun 26, 2025Aug 23, 2025Oct 21, 2025Dec 18, 2025Feb 15, 2026Apr 14, 2026Jun 12, 2026

Evaluation results

MethodLinks
EVA-02-LRes=640, Img/s=2.552025.1060.05—86.83
APTRes=640, Img/s=2.83, Speedup=+11%2025.1060.01—86.82
EVA-02-LRes=512, Img/s=4.402025.1059.77—86.67
APTRes=512, Img/s=4.87, Speedup=+11%2025.1059.7—86.68
ResizingRes=640, Img/s=2.83, Speedup=+11%2025.1058.83—86.06
ResizingRes=512, Img/s=4.87, Speedup=+11%2025.1058.81—86.09
CPolyNeXt-S♦Params (M)=54, MACs (G)=9412026.0550.6——
APolyNeXt-S♦Params (M)=55, MACs (G)=11212026.0549.9——
CAFormer-S18Params (M)=54, MACs (G)=10242026.0548.9——
ConvFormer-S18Params (M)=54, MACs (G)=9252026.0548.6——
NaLaFormer-SPARA=25M, F=29G2025.0648.5——
VWFormer-B2PARA=27M, F=47G2025.0648.1——
MambaOut-TPARA=54M2025.0647.4——
VRWKV-SPARA=29M, F=46G2025.0647.2——
NaLaFormer-TPARA=14M, F=15G2025.0646.9——
SegFormer-B2PARA=28M, F=62G2025.0646.5——
EfficientViT-B2PARA=15M, F=9.1G2025.0645.9——
ViT-UpBackbone=DINOv3-S+, Evaluation Protocol=Linear probing2026.0644.73—77.06
SegNeXt-SPARA=15M, F=16G2025.0644.3——
UpLiFTBackbone=DINOv3-S+, Evaluation Protocol=Linear probing2026.0644.24—76.71
NAFBackbone=DINOv3-S+, Evaluation Protocol=Linear probing2026.0644.17—76.69
VWFormer-B1PARA=14M, F=13G2025.0644——
BilinearBackbone=DINOv3-S+, Evaluation Protocol=Linear probing2026.0643.27—76.17
PVT-S + RPAttentionFLOPs=169G, Params=24M2026.0542.9155.04—
AnyUpBackbone=DINOv3-S+, Evaluation Protocol=Linear probing2026.0642.77—76.02
JAFARBackbone=DINOv3-S+, Evaluation Protocol=Linear probing2026.0642.48—75.81
PVT-S + AgentFLOPs=169G, Params=24M2026.0542.2654.39—
SegFormer-B1PARA=14M, F=16G2025.0642.2——
PVT-SFLOPs=225G, Params=28M2026.0541.9553.02—
PVT-T + RPAttentionFLOPs=128G, Params=15M2026.0539.1750.71—
PVT-T + AgentFLOPs=127G, Params=15M2026.0539.0150.49—
PVT-TFLOPs=158G, Params=17M2026.0536.5746.72—
EgoViTWT-allTraining Data=Full Walking Tours dataset2026.0330.639.3—
EgoViTZurichTraining Data=WT-Zurich (65-minute)2026.032636.6—
AttMaskTraining Data=WT-Zurich (65-minute)2026.0325.135.4—
iBOTTraining Data=WT-Zurich (65-minute)2026.0323.934.5—
MAETraining Data=WT-Zurich (65-minute)2026.032333.2—
LPOSS+Base Framework=LPOSS+, Protocol=Zero-shot2026.0622.7——
SimCLRTraining Data=WT-Zurich (65-minute)2026.0322.532.8—
DORATraining Data=WT-Zurich (65-minute)2026.0321.631.1—
GPUAmode=zero-shot2026.0621.3——
SC-CLIP + GPUA (DINOv3)Base Framework=SC-CLIP, Alignment Strategy=GPUA, Visual Foundation Model=DINOv3, Protocol=Zero-shot2026.0621.3——
DINOTraining Data=WT-Zurich (65-minute)2026.0321.230.3—
Talk2DINOmode=zero-shot2026.0621.1——
Talk2DINOBase Framework=Talk2DINO, Protocol=Zero-shot2026.0621.1——
SC-CLIPmode=zero-shot2026.0620.1——
SC-CLIPBase Framework=SC-CLIP, Protocol=Zero-shot2026.0620.1——
MaskedPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=4/2552026.0520—57
CEPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=4/2552026.0519.8—57.5
ProxyCLIPBase Framework=ProxyCLIP, Protocol=Zero-shot2026.0619.7——
SCLIP + GPUA (DINOv3)Base Framework=SCLIP, Alignment Strategy=GPUA, Visual Foundation Model=DINOv3, Protocol=Zero-shot2026.0619.1——
CosPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=4/2552026.0519—55.9
JSPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=4/2552026.0519—55.9
SegPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=4/2552026.0518.9—55.9
TsallisPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=4/2552026.0518.9—55.8
MoCo-v3Training Data=WT-Zurich (65-minute)2026.0317.926—
MaskedPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=4/2552026.0517.8—56.8
CEPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=4/2552026.0517.3—57
CosPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=4/2552026.0516.8—55.7
JSPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=4/2552026.0516.6—55.6
SegPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=4/2552026.0516.5—55.5
TsallisPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=4/2552026.0516.5—55.4
SCLIPBase Framework=SCLIP, Protocol=Zero-shot2026.0616.1——
MaskCLIP + GPUA (DINOv3)Base Framework=MaskCLIP, Alignment Strategy=GPUA, Visual Foundation Model=DINOv3, Protocol=Zero-shot2026.0615.9——
MaskCLIPBase Framework=MaskCLIP, Protocol=Zero-shot2026.0611.9——
CEPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=8/2552026.059.4—39.8
CEPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=8/2552026.058.9—35.2
MaskedPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=8/2552026.058.5—36
JSPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=8/2552026.057.7—34.4
CosPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=8/2552026.057.6—34
TsallisPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=8/2552026.057.6—34
MaskedPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=8/2552026.057.5—28.5
SegPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=8/2552026.057.5—34.3
JSPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=8/2552026.057.3—28.4
SegPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=8/2552026.057.2—28.4
TsallisPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=8/2552026.057.1—27.5
CosPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=8/2552026.057—27.6
CEPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=12/2552026.053.9—19.8
CLIPBase Framework=CLIP, Protocol=Zero-shot2026.063.1——
CEPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=12/2552026.052.5—13.2
JSPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=12/2552026.052.1—10.7
MaskedPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=12/2552026.052.1—9.8
SegPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=12/2552026.052—10.4
CosPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=12/2552026.052—9.6
TsallisPGDbackbone=Segmenter+ViT-S, training_strategy=PIR-AT, epsilon=12/2552026.052—9.1
SegPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=12/2552026.051.2—5.3
JSPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=12/2552026.051.2—4.8
CosPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=12/2552026.051—3.9
MaskedPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=12/2552026.050.8—3.4
TsallisPGDbackbone=UPerNet+ConvNeXt-T, training_strategy=PIR-AT, epsilon=12/2552026.050.8—3.4