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3D Object Detection on SUN-RGBD (val)

74.4Bathtub APVoteNet
40.70449.45258.266.948Nov 22, 2017Mar 16, 2018Jul 9, 2018Nov 1, 2018Feb 24, 2019Jun 19, 2019Oct 12, 2019

Evaluation results

MethodLinks
VoteNetInput=Geo only2019.0474.48328.875.32229.862.26447.390.157.7————
COGRuntime=10-30min2017.1158.363.731.862.245.215.527.45151.370.147.6————
COGInput=Geo + RGB, room layout context=true2019.0458.363.731.862.245.215.527.45151.370.147.6————
COGInput Modality=RGB-D2019.1058.363.731.843.545.215.527.45151.370.1—————
Frustum VoxNetInput Modality=RGB-D, 2D Network Architecture=FPN, 3D Network Architecture=3D ResNetFCN352019.1044.679.519.149.112.519.636.240.827.584.6—48.21101280.24
DSSRuntime=19.55s2017.1144.278.811.961.220.56.415.453.550.378.942.1————
DSSInput=Geo + RGB2019.0444.278.811.961.220.56.415.453.550.378.942.1————
DSSInput Modality=RGB-D2019.1044.278.811.961.220.56.415.462.250.378.9————19.55
Frustum VoxNetInput Modality=Depth only, 2D Network Architecture=FPN, 3D Network Architecture=3D ResNetFCN352019.1043.777.417.445.811.815.233.137.325.576.8—35.4110—0.24
2D-drivenRuntime=4.15s2017.1143.564.531.448.327.925.941.950.43780.445.1————
2D-drivenInput=Geo + RGB, room layout context=true2019.0443.564.531.448.327.925.941.950.43780.445.1————
2D-drivenInput Modality=RGB-D2019.1043.564.531.448.327.915.541.950.43780.4————4.15
Frustum PointNets (v1)Runtime=0.12s2017.1143.381.133.364.224.73258.161.151.190.954————
F-PointNetInput=Geo + RGB2019.0443.381.133.364.224.73258.161.151.190.954————
Frustum PointNetsInput Modality=RGB-D2019.1043.381.133.364.224.73258.161.151.190——60600.12
Frustum VoxNetInput Modality=RGB-D, 2D Network Architecture=FPN, 3D Network Architecture=3D ResNetFCN62019.1042.478.51847.212.418.234.540.330.484.5—47.6110480.16
Frustum VoxNetInput Modality=Depth only, 2D Network Architecture=FPN, 3D Network Architecture=3D ResNetFCN62019.104277.116.845.911.714.132.435.825.376.1—35110480.16