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ResearchFormerly WizWand

Semantic Segmentation on DDD17 (test)

78.56mIoUBRENet
12.36429.549546.73563.9205Mar 18, 2022Nov 17, 2022Jul 20, 2023Mar 20, 2024Nov 20, 2024Jul 22, 2025Mar 24, 2026
Updated 7mo ago

Evaluation results

MethodLinks
BRENetModality=RGB-Event, Backbone=MiT-B2, Event Representation=MET2025.0578.5696.61
EISNetModality=RGB-Event, Backbone=MiT-B2, Event Representation=AET2025.0575.0396.04
SpikingEDNModality=RGB-Event, Backbone=FCN, Event Representation=Voxel Grid2025.0572.57—
SegNeXtModality=RGB, Backbone=MSCAN-B2025.0571.4695.97
SegFormerModality=RGB, Backbone=MiT-B22025.0571.0595.73
SE-AdapterModality=RGB-Event, Backbone=SAM, Event Representation=MSP2025.0569.0695.32
CMXModality=RGB-Event, Backbone=MiT-B2, Event Representation=Voxel Grid2025.0567.4794.2
Hybrid-SegModality=RGB-Event, Backbone=FCN, Event Representation=Voxel Grid2025.0567.3195.07
CMNeXtModality=RGB-Event, Backbone=MiT-B2, Event Representation=Voxel Grid2025.0566.9993.82
CMESSModality=RGB-Event, Backbone=E2ViD, Event Representation=Voxel Grid2025.0564.392.07
OpenESSModality=RGB-Event, Backbone=E2VID, Event Representation=Voxel Grid2025.056391.05
EDCNet-S2DModality=RGB-Event, Backbone=ResNet-101, Event Representation=Voxel Grid2025.0561.9993.8
GEPBackbone=ViT-B/14, Pre-training Dataset=Event-1.8M, Ep.=242026.0361.972.39
ESSModality=Event, Backbone=E2ViD, Event Representation=Voxel Grid2025.0561.3791.08
ESSTraining Data=events2022.0361.3791.08
ESS (E)Network=ANN, Params (×10^6)=12.91, #FLOPS_ANN (×10^9)=14.22, ETotal (mJ)=65.412022.1161.3791.08
ESSDataset=Cityscape, Ep.=502026.0361.3770.87
HALSIEModality=RGB-Event, Backbone=FCN, Event Representation=Voxel Grid2025.0560.6692.5
HALSIENetwork=Hybrid, Params (×10^6)=1.82, #FLOPS_ANN (×10^9)=3.84, #FLOPS_SNN (×10^9)=0.267, ETotal (mJ)=17.892022.1160.6692.5
ESSTraining Data=events+frames2022.0360.4390.37
ESS (E+F)Network=ANN, Params (×10^6)=12.91, #FLOPS_ANN (×10^9)=14.22, ETotal (mJ)=65.412022.1160.4390.37
GEPBackbone=ViT-S/14, Pre-training Dataset=Event-1.8M, Ep.=242026.0360.2872.14
DTLTraining Data=events2022.0358.8—
DTLNetwork=ANN, Params (×10^6)=60.48, #FLOPS_ANN (×10^9)=16.74, ETotal (mJ)=77.012022.1158.8—
GEPBackbone=ViT-S/14, Pre-training Dataset=N-ImageNet, Ep.=242026.0358.4269.59
EVDistillTraining Data=events2022.0358.02—
EvDistillNetwork=ANN, Params (×10^6)=59.34, #FLOPS_ANN (×10^9)=12.45, ETotal (mJ)=57.272022.1158.02—
VID2ETraining Data=synthetic + events2022.0356.0190.19
ViD2ENetwork=ANN, Params (×10^6)=29.09, #FLOPS_ANN (×10^9)=73.62, ETotal (mJ)=338.652022.1156.0190.19
ECDDPBackbone=ViT-S/16, Pre-training Dataset=E-TartanAir, Ep.=3002026.0355.7364.77
EV-SegNetModality=Event, Backbone=Xception, Event Representation=6-Channel Image2025.0554.8189.76
EV-SegNetTraining Data=events2022.0354.8189.76
EV-SegNetNetwork=ANN, Params (×10^6)=29.09, #FLOPS_ANN (×10^9)=73.62, ETotal (mJ)=338.652022.1154.8189.76
Spike-BRGNetModality=RGB-Event, Backbone=MiT-B2, Event Representation=Voxel Grid2025.0554.72—
ECDPBackbone=ViT-S/16, Pre-training Dataset=N-ImageNet, Ep.=3002026.0354.6666.08
DINOv2Backbone=ViT-S/14, Pre-training Dataset=LVD-142M2026.0353.8564.5
MAEBackbone=ViT-B/16, Pre-training Dataset=ImageNet1K, Ep.=8002026.0353.7664.78
ESSTraining Setting=Unsupervised Domain Adaptation (UDA)2022.0352.4687.86
BeiTBackbone=ViT-B/16, Pre-training Dataset=ImageNet1K, Ep.=8002026.0352.3961.95
VID2ETraining Setting=Unsupervised Domain Adaptation (UDA)2022.0345.4885.93
E2VIDTraining Setting=Unsupervised Domain Adaptation (UDA)2022.0344.7783.24
E2ViDNetwork=ANN, Params (×10^6)=10.71, #FLOPS_ANN (×10^9)=16.65, ETotal (mJ)=76.592022.1144.7783.24
ViTBackbone=ViT-S/162026.0336.6546.21
Spiking-DeeplabNetwork=SNN, Params (×10^6)=4.14, #FLOPS_SNN (×10^9)=54.34, ETotal (mJ)=48.912022.1133.7—
EV-TransferTraining Setting=Unsupervised Domain Adaptation (UDA)2022.0314.9147.37
EV-TransferNetwork=ANN, Params (×10^6)=7.37, #FLOPS_ANN (×10^9)=7.88, ETotal (mJ)=36.252022.1114.9147.37