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2D Object Detection on SUN-RGBD (val)

0.881AP (bed)UODDM
0.554440.639220.7240.80878Oct 12, 2019Mar 25, 2020Sep 7, 2020Feb 20, 2021Aug 5, 2021Jan 18, 2022Jul 3, 2022

Evaluation results

MethodLinks
UODDMImage Source=Point Cloud only, Backbone=Swin-T2022.070.8810.8760.5380.6680.6950.2870.6220.4720.1970.419—68.535.828.562.841.90.56653.4——
UODDM + CPPMImage Source=Point Cloud only, Backbone=Swin-T2022.070.880.8560.5180.6830.6860.2690.6160.4550.2020.417—67.63329.261.647.40.55852.8——
Ours with simCrossTransImage Source=Point Cloud only, Backbone=Swin-T2022.030.8720.8770.5160.6950.690.270.6050.4810.1930.36661.235.547.741.955.852.7————
simCrossTransImage Source=Point Cloud only, Backbone=Swin-T2022.070.8720.8770.5160.6950.690.270.6050.4810.1930.383—68.135.530.761.241.90.55852.7——
UODDM + CPPMImage Source=RGB & Depth/Point Cloud, Backbone=Swin-T2022.070.8650.910.5440.7020.6720.3030.5750.4870.2280.527—66.641.229.268.657.90.58155.8——
UODDMImage Source=RGB, Backbone=Swin-T2022.070.8360.8710.5330.5880.6250.2260.5420.4680.220.48—63.738.428.967.157.40.53952.5——
UODDM + CPPMImage Source=RGB, Backbone=Swin-T2022.070.8360.8860.530.5910.6080.2650.5070.4610.220.52—60.637.831.264.754.30.54251.9——
rgb only modelImage Source=RGB, Backbone=Swin-T2022.070.8320.9390.5180.5420.6040.2370.5130.4630.2250.544—60.439.832.76748.10.54252.3——
Ours with simCrossTransImage Source=Point Cloud only, Backbone=ResNet 502022.030.8210.7880.4350.4990.60.1480.5030.4110.130.31658.926.741.429.825.630.60.39346.5——
F-VoxNetImage Source=RGB, Backbone=ResNet 1012022.030.810.8950.3510.50.5240.2190.5310.3770.183———————0.568———
F-VoxNetImage Source=RGB, Backbone=ResNet 1012022.070.810.8950.3510.50.5240.2190.5310.3770.1830.404—47.829.82252.839.70.479———
Frustum VoxNetInput Modality=RGB2019.100.810.8950.3510.50.5240.2190.5310.3770.1830.404—220.528—39.70.31——47.829.8
F-VoxNetImage Source=RGB, Backbone=ResNet 1012022.030.7870.7760.3420.5190.5180.1650.4850.3490.142———————0.419———
F-VoxNetImage Source=Point Cloud only, Backbone=ResNet 1012022.070.7870.7760.3420.5190.5180.1650.4850.3490.1420.192—48.718.519.130.322.20.42837.3——
Frustum VoxNetInput Modality=Depth2019.100.7870.7760.3420.5190.5180.1650.4850.3490.1420.192—19.10.303—22.20.301——48.718.5
Ours w/o simCrossTransImage Source=Point Cloud only, Backbone=Swin-T2022.030.7670.5840.2310.4970.5720.1210.4050.4150.1350.19738.368.137.830.729.223.70.25239.6——
RGB-D RCNNImage Source=RGB & Depth, Backbone=VGG2022.030.760.6980.3710.4960.4120.3130.4220.430.1660.349——————0.457———
RGB-D RCNNImage Source=RGB & Depth/Point Cloud, Backbone=VGG2022.070.760.6980.3710.4960.4120.3130.4220.430.1660.349————46.841.90.442———
RGB-D RCNNInput Modality=RGB-D2019.100.760.6980.3710.4960.4120.3130.4220.430.1660.349——0.468——0.419————
2D-drivenImage Source=RGB, Backbone=VGG-162022.030.7450.8620.4950.4550.530.2940.490.4230.2230.672——————0.468———
2D-drivenImage Source=RGB, Backbone=VGG-162022.070.7450.8620.4950.4550.530.2940.490.4230.2230.457——————0.497———
2D-drivenInput Modality=RGB2019.100.7450.8620.4950.4550.530.2940.490.4230.2230.457——————————
Ours w/o simCrossTransImage Source=Point Cloud only, Backbone=ResNet 502022.030.7220.5170.220.4440.4950.0960.3360.3350.0970.12241.815.725.322.822.812.90.19533.8——
Frustum PointNetsImage Source=RGB, Backbone=adjusted VGG from SSD2022.030.5670.4350.3720.8130.6410.3330.5740.4990.778———————0.497———
Frustum PointNetsImage Source=RGB, Backbone=adjusted VGG from SSD2022.070.5670.4350.3720.8130.6410.3330.5740.4990.7780.672——————0.568———
Frustum PointNetsInput Modality=RGB2019.100.5670.4350.3720.8130.6410.3330.5740.4990.7780.672——————————