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3D Object Detection on ScanNet v2 (test)

74.5mAP@0.25CAGroup3D
16.88431.84246.861.758Mar 10, 2022Nov 14, 2022Jul 22, 2023Mar 28, 2024Dec 3, 2024Aug 10, 2025Apr 17, 2026

Evaluation results

MethodLinks
CAGroup3DType=Offline2024.0374.5—60.3—————————————————————
FCAF3DType=Offline2024.0370.7—56—————————————————————
FCAF3D-SV+OursType=Online, Input=single-view RGB-D images, Adaptation=Memory-based Adapters2024.0370.5—49.9—————————————————————
CentralizedNumber of Clients (C)=20, Data Heterogeneity (alpha)=0.252026.0460.3—35.8——————————————————86.773.286.2
CentralizedNumber of Clients (C)=100, Data Heterogeneity (alpha)=0.12026.0460.3—35.8——————————————————86.773.286.2
AnyViewType=Online2024.0360.1—36—————————————————————
3DGeoDetTrain/Test Views=20/50, 3D Supervision=Depth maps, Venue=TMM 20252025.1259.6—34.3—————————————————————
GVSynergy-DetTrain/Test Views=20/50, 3D Supervision=None2025.1256.3—32.1—————————————————————
ImGeoNetTrain/Test Views=20/50, 3D Supervision=Point clouds, Venue=ICCV 20232025.1254.5—28.9—————————————————————
VoteNetAnnotation=Bounding Box (BBox)2022.0354.2110——————————————————————
MVSDetTrain/Test Views=20/50, 3D Supervision=None, Venue=NeurIPS 20242025.1254—29—————————————————————
NeRF-Det++Train/Test Views=50/50, 3D Supervision=None, Venue=TIP 20252025.1253.9—29.6—————————————————————
CN-RMATrain/Test Views=20/50, 3D Supervision=TSDF volume, Venue=CVPR 20242025.1251—31—————————————————————
NeRF-DetTrain/Test Views=20/50, 3D Supervision=None, Venue=ICCV 20232025.1250.4—25.2—————————————————————
Fed3DNumber of Clients (C)=100, Data Heterogeneity (alpha)=0.12026.0447.5—30.2——————————————————83.455.743.6
Back to Reality (BR)Annotation=Position-level (P-L)2022.03475——————————————————————
VGGT-Detconfig=Basic backbone+AG+QD2026.0346.9——27.88261.97450.318.317.636.92.640.366.931.44932.990.350.883.227.6———
FedDynNumber of Clients (C)=100, Data Heterogeneity (alpha)=0.12026.0446.7—30——————————————————81.65586.2
MOONNumber of Clients (C)=100, Data Heterogeneity (alpha)=0.12026.0446.3—29.3——————————————————8354.886.2
Fed3DNumber of Clients (C)=20, Data Heterogeneity (alpha)=0.252026.0446.1—26.9——————————————————835343.6
FedProxNumber of Clients (C)=100, Data Heterogeneity (alpha)=0.12026.0445.8—28.9——————————————————81.353.886.2
SCAFFOLDNumber of Clients (C)=100, Data Heterogeneity (alpha)=0.12026.0445.2—29.6——————————————————80.855.386.2
MOONNumber of Clients (C)=20, Data Heterogeneity (alpha)=0.252026.0445—26.5——————————————————8252.286.2
VGGT-Detconfig=Basic backbone+AG2026.0344.2——25.984.753.773.846.317.613.726.42.240.566.518.741.545.284.645.38424.3———
ImVoxelNetTrain/Test Views=20/50, 3D Supervision=None, Venue=WACV 20222025.1243.4—19.9—————————————————————
FedAvgNumber of Clients (C)=100, Data Heterogeneity (alpha)=0.12026.0443.4—29——————————————————8152.986.2
FedDynNumber of Clients (C)=20, Data Heterogeneity (alpha)=0.252026.0443.3—22.3——————————————————81.44986.2
MVSDetSG-Free setting=true2026.0342.5——2880.655.565.343.225.29.929.41.143.463.820.439.236.789.744.268.420.2———
FedProxNumber of Clients (C)=20, Data Heterogeneity (alpha)=0.252026.0442.3—26.1——————————————————81.551.986.2
SCAFFOLDNumber of Clients (C)=20, Data Heterogeneity (alpha)=0.252026.0442.2—24.7——————————————————81.648.986.2
FCAF3D-SVType=Online, Input=single-view RGB-D images2024.0341.9—20.6—————————————————————
VGGT-Detconfig=Basic backbone2026.0341.4——20.185.548.478.53713.29.422.10.840.468.319.335.541.489.539.776.820———
FedAvgNumber of Clients (C)=20, Data Heterogeneity (alpha)=0.252026.0441.3—25.8——————————————————81.65286.2
NeRF-DetSG-Free setting=true2026.0341.2——24.985.354.464.342.224.312.731139.362.617.341.432.888.439.758.721———
FCAF3DSG-Free setting=true2026.0340.6——28.18147.270.740.917.113.2220.745.665.48.332.339.183.646.972.715.6———
ImVoxelNetSG-Free setting=true2026.0335.2——20.276.345.860.53616.39.617.90.323.353.18.129.43583.243.161.314.4———
P-L BaselineAnnotation=Position-level (P-L)2022.0332.45——————————————————————
Local-trainingNumber of Clients (C)=20, Data Heterogeneity (alpha)=0.252026.0419.1—10.9——————————————————50.246.286.2
Local-trainingNumber of Clients (C)=100, Data Heterogeneity (alpha)=0.12026.0419.1—10.9——————————————————50.246.286.2
3D-SISInput=Geo + RGB2021.12——22.5—————————————————————
4DContrast + VoteNetInput=Geo only2021.12——40—————————————————————
CSC + VoteNetInput=Geo only2021.12——39.3—————————————————————
DSSInput=Geo + RGB2021.12——6.8—————————————————————
F-PointNetInput=Geo + RGB2021.12——10.8—————————————————————
GSPNInput=Geo + RGB2021.12——17.7—————————————————————
PointContrast + VoteNetInput=Geo only2021.12——38—————————————————————
RandomRooms + VoteNetInput=Geo only2021.12——36.2—————————————————————
S-L BaselineAnnotation=Scene-level (S-L)2022.03—1——————————————————————
Scratch + VoteNetInput=Geo only2021.12——34.5—————————————————————
VoteNetInput=Geo + Height2021.12——33.5—————————————————————